Triple
T20027110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carazo |
E495012
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Jinotepe |
—
|
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: Jinotepe | Statement: [Carazo, hasCity, Jinotepe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jinotepe Context triple: [Carazo, hasCity, Jinotepe]
-
A.
Jinotepe
chosen
Jinotepe is a city in southwestern Nicaragua known as the capital of the Carazo department and for its agricultural production, especially coffee.
-
B.
Chayahuita
Chayahuita is an indigenous language of the Peruvian Amazon, spoken by the Chayahuita (Shawi) people and belonging to the Cahuapanan language family.
-
C.
Ocotepeque
Ocotepeque is a city in western Honduras near the borders with El Salvador and Guatemala, serving as a regional commercial and transportation hub.
-
D.
Chichigalpa
Chichigalpa is a Nicaraguan town known for its sugarcane industry and as the home of the Flor de Caña rum distillery.
-
E.
Choloma
Choloma is a rapidly growing industrial city in northern Honduras known for its large concentration of maquiladora factories and manufacturing activity.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6628e1eec81908e4c9b2b0b68f0e4 |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:35 p.m.