Triple
T13121271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerro Negro de Chiles |
E311725
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Ipiales |
E970905
|
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: Ipiales | Statement: [Cerro Negro de Chiles, near, Ipiales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ipiales Context triple: [Cerro Negro de Chiles, near, Ipiales]
-
A.
Ipiales
chosen
Ipiales is a city in southern Colombia near the Ecuadorian border, known for its Andean setting and proximity to the famous Las Lajas Sanctuary.
-
B.
Espinal
Espinal is a significant urban center in central Colombia known for its agricultural economy and cultural traditions within the Tolima Department.
-
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.
Chavasqueira
Chavasqueira is a well-known thermal bath area in Ourense, Spain, famous for its natural hot springs and riverside spa pools.
-
E.
Pasuquin
Pasuquin is a coastal municipality in the province of Ilocos Norte in the Philippines, known for its salt-making industry and scenic beaches.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98196e69081909111407ee3d9f08e |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eade84f881909d5db24bc5c6e072 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:06 p.m.