Triple
T17807939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volcán San Cristóbal |
E444615
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Chichigalpa |
—
|
NE NERFINISHED |
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: Chichigalpa | Statement: [Volcán San Cristóbal, nearbySettlement, Chichigalpa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chichigalpa Context triple: [Volcán San Cristóbal, nearbySettlement, Chichigalpa]
-
A.
Chichigalpa
chosen
Chichigalpa is a Nicaraguan town known for its sugarcane industry and as the home of the Flor de Caña rum distillery.
-
B.
Tibacuy
Tibacuy is a small municipality and town in the Cundinamarca Department of central Colombia, known for its rural character and Andean landscapes.
-
C.
San José del Fragua
San José del Fragua is a rural municipality in southern Colombia known for its location in the Amazonian foothills of the Caquetá region and its rich natural landscapes.
-
D.
Estelí
Estelí is a city in northern Nicaragua known for its tobacco production, cigar industry, and role as a commercial and cultural center in the region.
-
E.
Jinotepe
Jinotepe is a city in southwestern Nicaragua known as the capital of the Carazo department and for its agricultural production, especially coffee.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e488779a3081908405eac4930a095f |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.