Triple

T2275860
Position Surface form Disambiguated ID Type / Status
Subject Guerrero E50767 entity
Predicate touristDestination P530 FINISHED
Object Taxco E285350 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: Taxco | Statement: [Guerrero, touristDestination, Taxco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taxco
Context triple: [Guerrero, touristDestination, Taxco]
  • A. Taxco de Alarcón chosen
    Taxco de Alarcón is a historic colonial city in the Mexican state of Guerrero, renowned for its silver mining, jewelry craftsmanship, and picturesque hillside architecture.
  • B. Copilco
    Copilco is a station on Mexico City’s Metro system, serving the Copilco neighborhood near the National Autonomous University of Mexico (UNAM).
  • C. Tecali
    Tecali is a Mexican town renowned for its traditional crafts, particularly the production of Talavera pottery and stonework.
  • D. Tepatitlán de Morelos
    Tepatitlán de Morelos is a prominent city in Mexico known for its agricultural production, religious traditions, and vibrant regional culture.
  • E. Tacuba
    Tacuba is a historic neighborhood in Mexico City known for its colonial-era architecture and role as a former pre-Hispanic town.
  • 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1ecc600819095dd4f69af1d18d8 completed March 7, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa03e7b6c81909e61671bd4435723 completed March 10, 2026, 4:38 a.m.
Created at: March 4, 2026, 7:48 p.m.