Triple
T5708993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universitas Pendidikan Indonesia |
E125856
|
entity |
| Predicate | campus |
P269
|
FINISHED |
| Object |
UPI Cibiru
UPI Cibiru is a regional campus of Universitas Pendidikan Indonesia that focuses on teacher education and related educational programs in the Cibiru area.
|
E542593
|
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 Cibiru | Statement: [Universitas Pendidikan Indonesia, campus, UPI Cibiru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UPI Cibiru Context triple: [Universitas Pendidikan Indonesia, campus, UPI Cibiru]
-
A.
Icó
Icó is a historic municipality in northeastern Brazil known for its colonial architecture and cultural heritage within the state of Ceará.
-
B.
Catumbi
Catumbi is a traditional neighborhood in Rio de Janeiro, Brazil, known for its central location and historical urban character.
-
C.
Itaquaquecetuba
Itaquaquecetuba is a municipality in the Greater São Paulo metropolitan area of southeastern Brazil, known for its rapid urban growth and industrial activity.
-
D.
Ourinhos
Ourinhos is a municipality in the southwestern part of the state of São Paulo, Brazil, known as a regional commercial and agricultural center.
-
E.
Afogados
Afogados is a populous neighborhood in the Brazilian city of Recife, known for its busy commercial areas and dense urban character.
- 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 Cibiru Triple: [Universitas Pendidikan Indonesia, campus, UPI Cibiru]
Generated description
UPI Cibiru is a regional campus of Universitas Pendidikan Indonesia that focuses on teacher education and related educational programs in the Cibiru area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UPI Cibiru Target entity description: UPI Cibiru is a regional campus of Universitas Pendidikan Indonesia that focuses on teacher education and related educational programs in the Cibiru area.
-
A.
Icó
Icó is a historic municipality in northeastern Brazil known for its colonial architecture and cultural heritage within the state of Ceará.
-
B.
Catumbi
Catumbi is a traditional neighborhood in Rio de Janeiro, Brazil, known for its central location and historical urban character.
-
C.
Itaquaquecetuba
Itaquaquecetuba is a municipality in the Greater São Paulo metropolitan area of southeastern Brazil, known for its rapid urban growth and industrial activity.
-
D.
Ourinhos
Ourinhos is a municipality in the southwestern part of the state of São Paulo, Brazil, known as a regional commercial and agricultural center.
-
E.
Afogados
Afogados is a populous neighborhood in the Brazilian city of Recife, known for its busy commercial areas and dense urban character.
- 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.