Triple
T16898787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casita |
E424379
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Chinandega |
E424376
|
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: Chinandega | Statement: [Casita, nearCity, Chinandega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chinandega Context triple: [Casita, nearCity, Chinandega]
-
A.
Chinandega
chosen
Chinandega is a city in northwestern Nicaragua known as a commercial and agricultural hub near the country’s highest volcanoes.
-
B.
Caxarias
Caxarias is a civil parish and locality within the municipality of Ourém in central Portugal.
-
C.
Cayastá
Cayastá is a small town in Argentina’s Santa Fe Province known for its proximity to the historic Santa Fe La Vieja archaeological site, which preserves the remains of one of the region’s earliest Spanish settlements.
-
D.
Cochamó
Cochamó is a rural commune and village in Chile’s Los Lagos Region, known for its dramatic granite valleys, lush temperate rainforests, and outdoor recreation such as trekking and rock climbing.
-
E.
Tanguá
Tanguá is a small municipality in the state of Rio de Janeiro, Brazil, known for its rural character and integration into the greater Rio de Janeiro metropolitan area.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8da7b0481909111358871875023 |
completed | April 18, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfcd0db8819080d415a18b3435e2 |
completed | May 10, 2026, 6:34 p.m. |
Created at: April 10, 2026, 5:29 a.m.