Triple
T11459291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Machala |
E271610
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | El Oro Province |
E271610
|
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: El Oro Province | Statement: [Machala, locatedIn, El Oro Province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Oro Province Context triple: [Machala, locatedIn, El Oro Province]
-
A.
El Oro Province
chosen
El Oro Province is a coastal region in southwestern Ecuador known for its banana production, fishing industry, and border with Peru.
-
B.
Bolívar Province
Bolívar Province is an inland administrative region in central Ecuador, known for its Andean highland landscapes and agricultural economy.
-
C.
Tequendama Province
Tequendama Province is an administrative subdivision of the Cundinamarca Department in central Colombia, known for its Andean landscapes and proximity to Bogotá.
-
D.
Carabaya Province
Carabaya Province is an administrative division in southeastern Peru known for its high Andean landscapes, mining activities, and location within the Puno Region near the border with Bolivia.
-
E.
Velasco Province
Velasco Province is an administrative province in eastern Bolivia, located within the Santa Cruz Department and known for its vast lowland landscapes and rural communities.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f2138081909408c7916cef99c9 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6717a5ca081908bdba9b944b76258 |
completed | May 2, 2026, 9:49 p.m. |
Created at: April 8, 2026, 9:35 p.m.