Triple
T14136416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guayas metropolitan area |
E350306
|
entity |
| Predicate | hasPart |
P35
|
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: [Guayas metropolitan area, hasPart, Yaguachi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yaguachi Context triple: [Guayas metropolitan area, hasPart, 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.
Jimaguayú
Jimaguayú is a locality in Camagüey Province, Cuba, historically notable as the place where Cuban independence leader Ignacio Agramonte was killed in battle.
-
D.
Urcos
Urcos is a small Andean town in southeastern Peru that serves as an administrative and commercial center in the Cusco region.
-
E.
Cojitambo
Cojitambo is an ancient highland archaeological complex in Ecuador notable for its Cañari and later Inca ceremonial and military structures.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610fb86c81909eb26bf9c13696ca |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7e485fc8190aad0cce445aaec1a |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 10, 2026, 12:18 a.m.