Triple
T17116035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pontifical Bolivarian University |
E415341
|
entity |
| Predicate | hasCampusIn |
P4623
|
FINISHED |
| Object | Montería |
E514776
|
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: Montería | Statement: [Pontifical Bolivarian University, hasCampusIn, Montería]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montería Context triple: [Pontifical Bolivarian University, hasCampusIn, Montería]
-
A.
Montería
chosen
Montería is a major Colombian city known as the capital of Córdoba Department, recognized for its cattle ranching economy and location along the Sinú River.
-
B.
Tunja
Tunja is a historic city in central Colombia known for its well-preserved colonial architecture and cultural heritage.
-
C.
Cúcuta
Cúcuta is a major Colombian city on the border with Venezuela, known as an important commercial and transportation hub in the northeast of the country.
-
D.
Apartadó
Apartadó is a municipality in Colombia’s Antioquia Department, known as an important agricultural and commercial center in the Urabá region, especially for banana production.
-
E.
Cartagena del Chairá
Cartagena del Chairá is a rural municipality in southern Colombia’s Caquetá Department, known for its Amazonian rainforest environment and history of armed conflict presence.
- 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_6a015fbff4b48190970073eb3b9d5d75 |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:35 a.m.