Triple
T17116038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pontifical Bolivarian University |
E415341
|
entity |
| Predicate | hasCampusIn |
P4623
|
FINISHED |
| Object | Sincelejo |
E567451
|
NE FINISHED |
How this triple was built (2 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: Sincelejo | Statement: [Pontifical Bolivarian University, hasCampusIn, Sincelejo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sincelejo Context triple: [Pontifical Bolivarian University, hasCampusIn, Sincelejo]
-
A.
Sincelejo
chosen
Sincelejo is a city in northern Colombia that serves as the political and economic center of the Sucre Department.
-
B.
La Tola
La Tola is a traditional historic neighborhood in central Quito, Ecuador, known for its colonial-era architecture and proximity to the El Panecillo hill.
-
C.
Mazunte
Mazunte is a small, laid-back beach town on Mexico’s Oaxacan coast, known for its sea turtle conservation center, eco-tourism, and scenic Pacific shoreline.
-
D.
Lajedo
Lajedo is a small settlement on Flores Island in Portugal’s Azores archipelago, known for its rural character and Atlantic island landscape.
-
E.
Itunyoso
Itunyoso is a region associated with the Trique people, an indigenous group of Oaxaca, Mexico, known for their distinct language and cultural traditions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e80528588190a877dcc6d6d3a392 |
completed | April 18, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a0b69108190ba3ba6ba7f8d3935 |
completed | May 11, 2026, 2:08 a.m. |
Created at: April 10, 2026, 5:35 a.m.