Triple
T7866515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Gil |
E182628
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Barichara |
E177643
|
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: Barichara | Statement: [San Gil, nearbyTown, Barichara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barichara Context triple: [San Gil, nearbyTown, Barichara]
-
A.
Barichara
chosen
Barichara is a picturesque colonial town in northeastern Colombia, renowned for its well-preserved architecture, cobblestone streets, and scenic views over the Chicamocha Canyon.
-
B.
Carira
Carira is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its agricultural activities and small-town character.
-
C.
Badiraguato
Badiraguato is a rural municipality in the Mexican state of Sinaloa, known for its mountainous terrain and as the birthplace of several notorious drug cartel figures.
-
D.
Barra Bonita
Barra Bonita is a municipality in the state of São Paulo, Brazil, known for its river tourism and historic lock system on the Tietê River.
-
E.
Trancoso
Trancoso is a historic Portuguese town in the Centro Region, known for its medieval walls, castle, and well-preserved old quarter.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb38464274819080f182b53783fa84 |
completed | March 31, 2026, 2:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b5908a88190bc00f0d6dbde0b58 |
completed | March 31, 2026, 5:27 a.m. |
Created at: March 30, 2026, 4:54 p.m.