Triple
T1691659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cajicá |
E36561
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Zipaquirá |
E33041
|
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: Zipaquirá | Statement: [Cajicá, borderedBy, Zipaquirá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zipaquirá Context triple: [Cajicá, borderedBy, Zipaquirá]
-
A.
Zipaquirá
chosen
Zipaquirá is a historic Colombian city famed for its underground Salt Cathedral and colonial architecture, located north of Bogotá.
-
B.
Alcohuaz
Alcohuaz is a small rural village in Chile’s Elqui Valley, known for its high-altitude vineyards, pisco production, and clear skies for stargazing.
-
C.
Yucay
Yucay is a small Andean town in Peru’s Sacred Valley, known for its traditional agriculture, Inca terraces, and scenic mountain surroundings.
-
D.
Chocontá
Chocontá is a municipality and town in central Colombia known for its agricultural production and colonial-era history.
-
E.
Colina
Colina is a commune and city in central Chile known for its growing residential areas and proximity to Santiago in the Santiago Metropolitan 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6298fa748190acabb9f1d42bd3f5 |
completed | March 6, 2026, 5:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada976b6cc8190b1f50452a73e142a |
completed | March 8, 2026, 4:53 p.m. |
Created at: March 4, 2026, 7:29 p.m.