Triple

T2644943
Position Surface form Disambiguated ID Type / Status
Subject Y Tu Mamá También E62960 entity
Predicate filmingLocation P40 FINISHED
Object Hidalgo E31143 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: Hidalgo | Statement: [Y Tu Mamá También, filmingLocation, Hidalgo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hidalgo
Context triple: [Y Tu Mamá También, filmingLocation, Hidalgo]
  • A. Hidalgo chosen
    Hidalgo is a central Mexican state known for its mountainous terrain, rich mining history, and diverse indigenous cultural heritage.
  • B. Hidalgo
    Hidalgo is a major Mexico City Metro station that serves as an important transfer point between multiple lines in the city’s rapid transit system.
  • C. Navojoa
    Navojoa is a city in the southern part of the state of Sonora, Mexico, known as an agricultural and commercial center in the Mayo River valley.
  • D. Vera Cruz
    Vera Cruz is a 1954 American Western film directed by Robert Aldrich, noted for its cynical tone, antihero characters, and influence on the later Spaghetti Western genre.
  • E. San Felipe
    San Felipe is a historic city in central Chile known for its agricultural surroundings and role as a commercial and administrative center in the Aconcagua Valley.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd917192081908e7a2cf780a17b83 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98c50d108190b716dd51c34d3759 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.