Triple
T11507617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cauca |
E272826
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Patía |
E814312
|
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: Patía | Statement: [Cauca, hasCity, Patía]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patía Context triple: [Cauca, hasCity, Patía]
-
A.
Patía
chosen
Patía is a municipality in southwestern Colombia known for its agricultural economy and location within the Andean region of the Cauca Department.
-
B.
Betancuria
Betancuria is a historic inland town and former capital of the Canary Island of Fuerteventura, known for its traditional architecture and rural charm.
-
C.
Guaimaca
Guaimaca is a town and municipality in central Honduras known for its rural character and location within the Francisco Morazán Department.
-
D.
Calarcá
Calarcá is a Colombian town and municipality in the coffee-growing Quindío Department, known for its cultural heritage and role in the Coffee Cultural Landscape.
-
E.
Pasto
Pasto is a city in southwestern Colombia known as the capital of the Nariño Department and for its rich Andean culture and traditional Black and White Carnival.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db43a648190be859bec2fe9f43b |
completed | April 10, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e624f5c9608190bde28a59860b3c93 |
completed | April 20, 2026, 1:07 p.m. |
Created at: April 8, 2026, 9:36 p.m.