Triple
T9938263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Yaguachi |
E194009
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Yaguachi |
E250934
|
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: Yaguachi | Statement: [Battle of Yaguachi, locatedIn, Yaguachi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yaguachi Context triple: [Battle of Yaguachi, locatedIn, Yaguachi]
-
A.
Yaguachi
chosen
Yaguachi is a town and canton in coastal Ecuador known for its agricultural economy and location within Guayas Province.
-
B.
Chácobo
Chácobo is an indigenous language of the Panoan family spoken by the Chácobo people in the Bolivian Amazon.
-
C.
Quilleco
Quilleco is a small town and commune in Chile’s Biobío Region, known for its proximity to the Angostura hydroelectric dam on the Biobío River.
-
D.
Yaguajay
Yaguajay is a town and municipality in central Cuba known for its historic role in the Cuban Revolution, particularly the Battle of Yaguajay.
-
E.
Fiambalá
Fiambalá is a small town in northwestern Argentina known for its high-altitude vineyards, desert landscapes, and nearby Andean mountain passes.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5e64760819094f599f158d32f33 |
completed | April 2, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d4528108190b38111bb36832a67 |
completed | April 5, 2026, 10:45 a.m. |
Created at: March 30, 2026, 8:44 p.m.