Triple

T13580000
Position Surface form Disambiguated ID Type / Status
Subject Pánuco River E324387 entity
Predicate locatedInAdministrativeTerritory 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: [Pánuco River, locatedInAdministrativeTerritory, Hidalgo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hidalgo
Context triple: [Pánuco River, locatedInAdministrativeTerritory, 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 common Spanish surname historically associated with minor nobility and widely borne across the Spanish-speaking world.
  • C. 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.
  • D. Hidalgo
    Hidalgo is a 2004 adventure Western film starring Viggo Mortensen as a long-distance rider competing in a grueling desert horse race.
  • E. 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.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb03052088190a2b68c106059828e completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bbdb2d0819089f094e57dde28cf completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:48 p.m.