Triple
T17648281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Perla |
E429417
|
entity |
| Predicate | hasMunicipalStatusIn |
P21214
|
FINISHED |
| Object | Veracruz |
—
|
NE NERFINISHED |
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: Veracruz | Statement: [La Perla, hasMunicipalStatusIn, Veracruz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veracruz Context triple: [La Perla, hasMunicipalStatusIn, Veracruz]
-
A.
Veracruz
Veracruz is a coastal town in Panama’s Arraiján District, known for its beaches along the Pacific shoreline near Panama City.
-
B.
Veracruz
chosen
Veracruz is a coastal state in eastern Mexico on the Gulf of Mexico, known for its major port city, rich colonial and indigenous history, and diverse geography ranging from tropical lowlands to high mountains.
-
C.
Zimapán
Zimapán is a town and municipality in the Mexican state of Hidalgo, known for its mining history and rugged mountainous landscapes.
-
D.
Yucatán state
Yucatán state is a region in southeastern Mexico known for its rich Mayan heritage, cenotes, colonial cities, and diverse natural reserves along the Gulf of Mexico.
-
E.
Campeche state
Campeche state is a coastal state in southeastern Mexico on the Yucatán Peninsula, known for its Gulf of Mexico shoreline, Mayan archaeological sites, and extensive protected natural areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e3a5ad8819085d4bef669fc3152 |
completed | April 19, 2026, 5:55 a.m. |
Created at: April 10, 2026, 6:05 a.m.