Triple

T9864216
Position Surface form Disambiguated ID Type / Status
Subject Paco E239790 entity
Predicate hasLandmark P105 FINISHED
Object Paco Market E826062 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: Paco Market | Statement: [Paco, hasLandmark, Paco Market]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paco Market
Context triple: [Paco, hasLandmark, Paco Market]
  • A. Paco Market chosen
    Paco Market is a local marketplace associated with the Paco area, known for serving as a community hub for everyday goods and neighborhood commerce.
  • B. La Merced Market
    La Merced Market is one of Mexico City’s largest and oldest traditional public markets, renowned for its vast variety of foodstuffs, household goods, and street life.
  • C. San Lorenzo Market
    San Lorenzo Market is a famous open-air and indoor market in Florence, Italy, known for its leather goods, souvenirs, and food products that attract both locals and tourists.
  • D. Mercado de San Juan
    Mercado de San Juan is a traditional gourmet market in Mexico City renowned for its wide variety of exotic meats, specialty foods, and high-quality produce.
  • E. Belén Market
    Belén Market is a bustling open-air marketplace in Iquitos, Peru, known for its vibrant Amazonian produce, traditional medicines, and everyday goods sold along the riverfront.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3b927d08190a45ff68de3954e8f completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eadd95ac81909a265db37b648df0 completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:36 p.m.