Triple

T9974617
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Poncitlán E196294 entity
Predicate hasMunicipalSeat P1474 FINISHED
Object Poncitlán E689406 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: Poncitlán | Statement: [Municipality of Poncitlán, hasMunicipalSeat, Poncitlán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poncitlán
Context triple: [Municipality of Poncitlán, hasMunicipalSeat, Poncitlán]
  • A. Poncitlán chosen
    Poncitlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural activity and proximity to Lake Chapala.
  • B. Ayotlán
    Ayotlán is a municipality and town in the Los Altos region of the Mexican state of Jalisco, known for its agricultural traditions and regional culture.
  • C. Jocotepec
    Jocotepec is a town and municipality in the Mexican state of Jalisco, known for its lakeside location, traditional plazas, and role as a gateway to the Lake Chapala region.
  • D. Apatzingán
    Apatzingán is a city in the Mexican state of Michoacán, historically notable as a key site in the country’s early independence movement.
  • E. Ocotlán
    Ocotlán is a city in the Mexican state of Jalisco, known for its furniture industry, religious traditions, and location near Lake Chapala.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb849da448190b826cb8fbf2eeb89 completed April 2, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d281ebf6f88190a94ba8231422c591 completed April 5, 2026, 3:38 p.m.
Created at: March 30, 2026, 8:48 p.m.