Triple
T1459582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madrid, Cundinamarca |
E31478
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Facatativá |
E33388
|
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: Facatativá | Statement: [Madrid, Cundinamarca, hasNeighboringMunicipality, Facatativá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Facatativá Context triple: [Madrid, Cundinamarca, hasNeighboringMunicipality, Facatativá]
-
A.
Facatativá
chosen
Facatativá is a Colombian city in the Andean region, known for its proximity to Bogotá and the nearby Piedras del Tunjo archaeological park.
-
B.
Tocaima
Tocaima is a historic Colombian town in the Cundinamarca Department, known for its warm climate and thermal springs.
-
C.
Caparrapí
Caparrapí is a municipality in central Colombia known for its rural character and location within the Andean region of the Cundinamarca Department.
-
D.
Puerto Boyacá
Puerto Boyacá is a Colombian river port town on the Magdalena River known for its oil industry and strategic commercial importance.
-
E.
Bejucal
Bejucal is a Cuban town and municipality known for its historic role in the island’s early railway system and its traditional “Charangas de Bejucal” carnival festivities.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c59c1c288190be08064f2d351b2b |
completed | March 1, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad36fd91488190b0431bc1c83c64e3 |
completed | March 8, 2026, 8:44 a.m. |
Created at: March 1, 2026, 8 p.m.