Triple
T2050079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sibaté |
E45543
|
entity |
| Predicate | subdivisionName |
P747
|
FINISHED |
| Object | Sibaté |
E45543
|
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: Sibaté | Statement: [Sibaté, subdivisionName, Sibaté]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sibaté Context triple: [Sibaté, subdivisionName, Sibaté]
-
A.
Sibaté
chosen
Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
-
B.
Gurabo
Gurabo is a municipality in eastern Puerto Rico known for its suburban character, scenic hills, and integration into the greater San Juan metropolitan region.
-
C.
Gachancipá
Gachancipá is a municipality in the Cundinamarca Department of Colombia, located in the central highlands near Bogotá.
-
D.
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.
-
E.
Cucunubá
Cucunubá is a small colonial-era town in the Cundinamarca department of Colombia, known for its traditional wool textiles and scenic Andean highland landscapes.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb98e10d48190bb96cd1f8ea3c08b |
completed | March 7, 2026, 5:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58c2cb688190ae3320bbf4e0dfa9 |
completed | March 9, 2026, 5:21 a.m. |
Created at: March 4, 2026, 7:39 p.m.