Triple
T7559127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sesquilé |
E178748
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Tocancipá |
E38147
|
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: Tocancipá | Statement: [Sesquilé, borderedBy, Tocancipá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tocancipá Context triple: [Sesquilé, borderedBy, Tocancipá]
-
A.
Tocancipá
chosen
Tocancipá is a Colombian municipality in the department of Cundinamarca, known for its industrial activity, motorsport circuit, and proximity to Bogotá.
-
B.
Guayaramerín
Guayaramerín is a Bolivian town and river port in the Beni Department, located on the Mamoré River near the border with Brazil.
-
C.
Tucupita
Tucupita is a small Venezuelan city that serves as the capital of Delta Amacuro state and the main urban center near the Orinoco Delta.
-
D.
Orocué
Orocué is a small Colombian town and municipality located in the eastern plains region, known for its cattle ranching and proximity to the Meta River.
-
E.
Caranavi
Caranavi is a Bolivian town known as a key coffee-growing and agricultural hub in the Yungas region.
- 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8dc7d288190a0d08ba704cc3fc2 |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870780d24819095196cd3a22bec5a |
completed | March 29, 2026, 12:21 a.m. |
Created at: March 27, 2026, 3:50 p.m.