Triple

T7863230
Position Surface form Disambiguated ID Type / Status
Subject Estado Libre y Soberano de Hidalgo E182550 entity
Predicate contains P35 FINISHED
Object Real del Monte E165688 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: Real del Monte | Statement: [Estado Libre y Soberano de Hidalgo, contains, Real del Monte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Real del Monte
Context triple: [Estado Libre y Soberano de Hidalgo, contains, Real del Monte]
  • A. Real del Monte chosen
    Real del Monte is a historic mining town in central Mexico renowned for its silver mines, Cornish heritage, and traditional pastes (savory pastries).
  • B. Mineral del Monte
    Mineral del Monte is a historic mining town in the Mexican state of Hidalgo, known for its silver mines, Cornish heritage, and distinctive architecture.
  • C. San Miguelito
    San Miguelito is a municipality located within the Francisco Morazán Department of Honduras.
  • D. San Miguel
    San Miguel is a town located within Bolívar Province in central Ecuador, known for its Andean setting and local agricultural activities.
  • E. San Miguel
    San Miguel is a barangay (local administrative district) within the highly urbanized city of Taguig in Metro Manila, Philippines.
  • 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_69ca82887fd48190975896bf38c4596b completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb36bfd8a4819093c2ef6d47891a68 completed March 31, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b49a7288190ae6758647fb35ac9 completed March 31, 2026, 5:27 a.m.
Created at: March 30, 2026, 4:54 p.m.