Triple
T7185944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Tota |
E167570
|
entity |
| Predicate | locatedInMunicipality |
P40
|
FINISHED |
| Object | Cuitiva |
E646950
|
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: Cuitiva | Statement: [Lake Tota, locatedInMunicipality, Cuitiva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cuitiva Context triple: [Lake Tota, locatedInMunicipality, Cuitiva]
-
A.
Cuitiva
chosen
Cuitiva is a small town in the Boyacá Department of Colombia, located in the Andean highlands near Lake Tota and known for its rural landscapes and cool climate.
-
B.
Cáqueza
Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
-
C.
Chacala
Chacala is a small coastal village and beach destination on Mexico’s Pacific coast in the state of Nayarit, known for its tranquil atmosphere, surfing, and ecotourism.
-
D.
Zapota
Zapota is a metro station on Mexico City’s Line 12, serving passengers in the southeastern part of the city.
-
E.
Pacaso
Pacaso is a real estate company that specializes in co-ownership of luxury second homes, allowing multiple buyers to purchase and share high-end properties.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8e0f2f48190a4ddf8637f556934 |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf903f1c819098de137c8c43ca34 |
completed | March 28, 2026, 11:46 a.m. |
Created at: March 27, 2026, 2:49 p.m.