Triple
T5709000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universitas Pendidikan Indonesia |
E125856
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
UPI
UPI is an Indonesian public university in Bandung renowned for its focus on teacher education and educational sciences.
|
E542598
|
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: UPI | Statement: [Universitas Pendidikan Indonesia, abbreviation, UPI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UPI Context triple: [Universitas Pendidikan Indonesia, abbreviation, UPI]
-
A.
UPS
UPS (United Parcel Service) is a global package delivery and supply chain management company known for its extensive logistics network and brown delivery trucks.
-
B.
UCE
UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
-
C.
Uni
Uni is an Etruscan goddess, broadly equivalent to the Roman Juno and Greek Hera, associated with marriage, fertility, and protection of the state.
-
D.
UME
UME is Spain’s specialized military emergency unit responsible for rapid response to natural disasters, major accidents, and other civil emergencies.
-
E.
Western Union
Western Union is a major American financial services and communications company best known for its historic telegraph network and global money transfer services.
- 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: UPI Triple: [Universitas Pendidikan Indonesia, abbreviation, UPI]
Generated description
UPI is an Indonesian public university in Bandung renowned for its focus on teacher education and educational sciences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UPI Target entity description: UPI is an Indonesian public university in Bandung renowned for its focus on teacher education and educational sciences.
-
A.
UPS
UPS (United Parcel Service) is a global package delivery and supply chain management company known for its extensive logistics network and brown delivery trucks.
-
B.
UCE
UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
-
C.
Uni
Uni is an Etruscan goddess, broadly equivalent to the Roman Juno and Greek Hera, associated with marriage, fertility, and protection of the state.
-
D.
UME
UME is Spain’s specialized military emergency unit responsible for rapid response to natural disasters, major accidents, and other civil emergencies.
-
E.
Western Union
Western Union is a major American financial services and communications company best known for its historic telegraph network and global money transfer services.
- 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248ab6a88190be17bdc32c36e5cb |
completed | March 22, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a6f5ac08190b5acbccea756d2de |
completed | March 22, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69c062029e3c8190ade3f0836d6b3842 |
completed | March 22, 2026, 9:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c06268eb0c8190959ba762c2d9b47d |
completed | March 22, 2026, 9:43 p.m. |
Created at: March 22, 2026, 3:46 p.m.