Triple
T5969937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Humanities (EPFL) |
E132846
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
CDH
CDH is the College of Humanities at EPFL, responsible for teaching and research in human and social sciences within the Swiss engineering and technology university.
|
E558702
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: CDH | Statement: [College of Humanities (EPFL), abbreviation, CDH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CDH Context triple: [College of Humanities (EPFL), abbreviation, CDH]
-
A.
Cloudera
Cloudera is an enterprise data management and analytics company best known for its platform built on Apache Hadoop and related open-source big data technologies.
-
B.
HDP
HDP is the acronym for Heritage Documentation Programs, a U.S. National Park Service initiative that records and preserves historic sites, structures, and engineering works through detailed documentation.
-
C.
Hadoop
Hadoop is an open-source framework that enables distributed storage and parallel processing of large data sets across clusters of commodity hardware.
-
D.
Apache Hive
Apache Hive is a data warehouse and SQL-like query system built on top of Hadoop for managing and analyzing large datasets stored in distributed storage.
-
E.
Amazon EMR
Amazon EMR is a managed big data platform on AWS that simplifies running large-scale data processing frameworks like Apache Hadoop and Spark on elastic cloud clusters.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CDH Triple: [College of Humanities (EPFL), abbreviation, CDH]
Generated description
CDH is the College of Humanities at EPFL, responsible for teaching and research in human and social sciences within the Swiss engineering and technology university.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CDH Target entity description: CDH is the College of Humanities at EPFL, responsible for teaching and research in human and social sciences within the Swiss engineering and technology university.
-
A.
Cloudera
Cloudera is an enterprise data management and analytics company best known for its platform built on Apache Hadoop and related open-source big data technologies.
-
B.
HDP
HDP is the acronym for Heritage Documentation Programs, a U.S. National Park Service initiative that records and preserves historic sites, structures, and engineering works through detailed documentation.
-
C.
Hadoop
Hadoop is an open-source framework that enables distributed storage and parallel processing of large data sets across clusters of commodity hardware.
-
D.
Apache Hive
Apache Hive is a data warehouse and SQL-like query system built on top of Hadoop for managing and analyzing large datasets stored in distributed storage.
-
E.
Amazon EMR
Amazon EMR is a managed big data platform on AWS that simplifies running large-scale data processing frameworks like Apache Hadoop and Spark on elastic cloud clusters.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03a4263e8819084e98e6c016c9532 |
completed | March 22, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e40506848190843971e772d56054 |
completed | March 23, 2026, 6:56 a.m. |
| NEDg | Description generation | batch_69c0edb0a0808190b2b6f5fc0d7b7913 |
completed | March 23, 2026, 7:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0ee2ffbc88190a256b5cb8a98f382 |
completed | March 23, 2026, 7:39 a.m. |
Created at: March 22, 2026, 4:03 p.m.