Triple
T1710967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oaxaca |
E36980
|
entity |
| Predicate | hasCoastalArea |
P212
|
FINISHED |
| Object | Costa Chica |
E170858
|
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: Costa Chica | Statement: [Oaxaca, hasCoastalArea, Costa Chica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Costa Chica Context triple: [Oaxaca, hasCoastalArea, Costa Chica]
-
A.
Costa
Costa is a common Portuguese surname borne by numerous notable figures in politics, sports, and the arts.
-
B.
Costa Chica of Guerrero
chosen
Costa Chica of Guerrero is a coastal region in the Mexican state of Guerrero known for its Afro-Mexican communities, rich cultural traditions, and Pacific beaches.
-
C.
San Blas
San Blas is a coastal town and port in the Mexican state of Nayarit, known for its beaches, fishing, and nearby mangrove and bird-filled wetlands.
-
D.
Costa Sur
Costa Sur is a coastal region in the Mexican state of Jalisco known for its Pacific beaches, fishing villages, and tourism.
-
E.
Costa Norte
Costa Norte is a coastal region in the Mexican state of Jalisco known for its Pacific beaches and tourist destinations.
- 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa63149288819082e7055d0d292d1d |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0d1882c81908e02e36ab28e7fdc |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:30 p.m.