Triple
T18639092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estelí Department |
E455633
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Estelí |
—
|
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: Estelí | Statement: [Estelí Department, hasCity, Estelí]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Estelí Context triple: [Estelí Department, hasCity, Estelí]
-
A.
Estelí
chosen
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.
-
B.
Chichigalpa
Chichigalpa is a Nicaraguan town known for its sugarcane industry and as the home of the Flor de Caña rum distillery.
-
C.
Juigalpa
Juigalpa is a city in central Nicaragua that serves as the capital of the Chontales Department and a regional hub for agriculture and cattle ranching.
-
D.
Matagalpa
Matagalpa is a major city in north-central Nicaragua known for its coffee production, cool climate, and role as a regional commercial and educational hub.
-
E.
Tibacuy
Tibacuy is a small municipality and town in the Cundinamarca Department of central Colombia, known for its rural character and Andean landscapes.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fcac2d48190a15ce8cc8e175198 |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:47 a.m.