Triple
T13218421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union for Europe of the Nations |
E314683
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
UEN
UEN was a conservative and nationalist political group in the European Parliament that brought together various right-leaning parties from across Europe.
|
E1028409
|
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: UEN | Statement: [Union for Europe of the Nations, abbreviation, UEN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UEN Context triple: [Union for Europe of the Nations, abbreviation, UEN]
-
A.
UCE
UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
-
B.
UME
UME is Spain’s specialized military emergency unit responsible for rapid response to natural disasters, major accidents, and other civil emergencies.
-
C.
UNA
UNA is a public university located in Florence, Alabama, known for its regional academic programs and historic campus.
-
D.
UNA
UNA is the stock ticker symbol for Unilever, a major multinational consumer goods company known for its wide range of food, personal care, and household products.
-
E.
UNA
UNA is the commonly used acronym for the National University of Costa Rica, a major public higher education and research institution in the country.
- 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: UEN Triple: [Union for Europe of the Nations, abbreviation, UEN]
Generated description
UEN was a conservative and nationalist political group in the European Parliament that brought together various right-leaning parties from across Europe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UEN Target entity description: UEN was a conservative and nationalist political group in the European Parliament that brought together various right-leaning parties from across Europe.
-
A.
UCE
UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
-
B.
UME
UME is Spain’s specialized military emergency unit responsible for rapid response to natural disasters, major accidents, and other civil emergencies.
-
C.
UNA
UNA is a public university located in Florence, Alabama, known for its regional academic programs and historic campus.
-
D.
UNA
UNA is the stock ticker symbol for Unilever, a major multinational consumer goods company known for its wide range of food, personal care, and household products.
-
E.
UNA
UNA is the commonly used acronym for the National University of Costa Rica, a major public higher education and research institution in the country.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf392e08190949ee4d194566395 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2085f88190be8cfc309d21f9cb |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f7036009808190aea595cd542e0cf1 |
completed | May 3, 2026, 8:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7040e32a4819083a9f4efe96fd9ca |
completed | May 3, 2026, 8:15 a.m. |
Created at: April 9, 2026, 9:18 p.m.