Triple

T2286245
Position Surface form Disambiguated ID Type / Status
Subject Zapotec E51396 entity
Predicate populationRegion P10611 FINISHED
Object Veracruz E15932 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: Veracruz | Statement: [Zapotec, populationRegion, Veracruz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veracruz
Context triple: [Zapotec, populationRegion, Veracruz]
  • A. 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.
  • B. Zimapán
    Zimapán is a town and municipality in the Mexican state of Hidalgo, known for its mining history and rugged mountainous landscapes.
  • C. 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.
  • D. 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.
  • E. Tamaulipas
    Tamaulipas is a northeastern Mexican state along the Gulf of Mexico, known for its coastal plains, agricultural production, and diverse landscapes shaped in part by the Sierra Madre Oriental.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc24730208190af8a5cf443d334f7 completed March 7, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2248bcb68819095e52fea4cd5692c completed March 12, 2026, 2:27 a.m.
Created at: March 4, 2026, 7:48 p.m.