Triple

T7804050
Position Surface form Disambiguated ID Type / Status
Subject municipality of Huimanguillo E180502 entity
Predicate administrativeCenter P1474 FINISHED
Object Huimanguillo E694295 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: Huimanguillo | Statement: [municipality of Huimanguillo, administrativeCenter, Huimanguillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huimanguillo
Context triple: [municipality of Huimanguillo, administrativeCenter, Huimanguillo]
  • A. Huimanguillo chosen
    Huimanguillo is a town in the Mexican state of Tabasco that serves as the administrative and economic center of the surrounding municipality of the same name.
  • B. Tlacotalpan
    Tlacotalpan is a historic riverside town in the Mexican state of Veracruz, renowned for its well-preserved colonial architecture and recognized as a UNESCO World Heritage Site.
  • C. Tototlán
    Tototlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural economy and traditional regional culture.
  • D. Sayula Popoluca
    Sayula Popoluca is an indigenous Mixe–Zoquean language spoken by a small community in the region of Sayula, Veracruz, Mexico.
  • E. Tuxpan
    Tuxpan is a town and municipality in the Mexican state of Nayarit, known for its agricultural economy and traditional cultural festivals.
  • 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_69ca827e50cc8190a92a733577184938 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf636def8819084117fababac06b2 completed March 30, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a2fd718819097cee2482bca74ad completed March 31, 2026, 5:22 a.m.
Created at: March 30, 2026, 4:34 p.m.