Triple

T24728534
Position Surface form Disambiguated ID Type / Status
Subject Ciudad Guzmán E618219 entity
Predicate hasMunicipalMarket P2714 FINISHED
Object Mercado Municipal de Ciudad Guzmán NE NERFINISHED

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: Mercado Municipal de Ciudad Guzmán | Statement: [Ciudad Guzmán, hasMunicipalMarket, Mercado Municipal de Ciudad Guzmán]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMunicipalMarket
Context triple: [Ciudad Guzmán, hasMunicipalMarket, Mercado Municipal de Ciudad Guzmán]
  • A. hasMarket chosen
    Indicates that an entity possesses, operates in, or is associated with a particular market or marketplace.
  • B. hasMarketTownStatus
    Indicates that a settlement holds the official legal or historical status of being recognized as a market town.
  • C. isInMarketTown
    Indicates that an entity is located within or belongs to a town that functions as a local commercial or trading center.
  • D. hasLocalMarketFunction
    Indicates that an entity serves a local market role or function, such as providing goods, services, or economic activities primarily to a nearby or community-based customer base.
  • E. containsMarketTown
    Indicates that one region or area includes within its boundaries a town that functions as a market center.
  • F. None of above.

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_69e2fab772608190b74163751047ff50 completed April 18, 2026, 3:29 a.m.
NER Named-entity recognition batch_69f464b4c9b0819085daa00c7c3b8b76 completed May 1, 2026, 8:30 a.m.
PD Predicate disambiguation batch_69f45cf017a88190b4985b11159c907d completed May 1, 2026, 7:57 a.m.
Created at: April 18, 2026, 4:01 a.m.