Triple
T10531425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mocorito |
E248448
|
entity |
| Predicate | hasMunicipalSeat |
P1474
|
FINISHED |
| Object | Mocorito |
E157503
|
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: Mocorito | Statement: [Mocorito, hasMunicipalSeat, Mocorito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mocorito Context triple: [Mocorito, hasMunicipalSeat, Mocorito]
-
A.
Mocorito
chosen
Mocorito is a historic town and municipality in the Mexican state of Sinaloa, known for its colonial architecture and cultural traditions.
-
B.
Guarijío
Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
-
C.
Guamote
Guamote is a rural town and canton in Ecuador known for its indigenous Kichwa culture, traditional markets, and highland Andean landscapes.
-
D.
Tocopilla
Tocopilla is a coastal city and port in northern Chile known for its mining industry and location on the Pacific Ocean.
-
E.
Yaté
Yaté is a sparsely populated commune in the far south of New Caledonia’s main island, known for its rugged landscapes, lakes, and protected natural areas.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a17f23081909f3372e160e21670 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b1b0de8819089e39ec76e6bdf59 |
completed | April 10, 2026, 7:10 p.m. |
Created at: April 6, 2026, 12:30 p.m.