Triple

T9604991
Position Surface form Disambiguated ID Type / Status
Subject Salamanca E231945 entity
Predicate locatedInCountryPetroleumSystem P40 FINISHED
Object Mexican oil industry LITERAL 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: Mexican oil industry | Statement: [Salamanca, locatedInCountryPetroleumSystem, Mexican oil industry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedInCountryPetroleumSystem
Context triple: [Salamanca, locatedInCountryPetroleumSystem, Mexican oil industry]
  • A. hasSignificantOilReservesInRegion
    Indicates that an entity possesses substantial oil reserves located within a specified geographic region.
  • B. countryLocatedIn
    Indicates that a country is geographically or politically situated within a specified larger region, territory, or entity.
  • C. housedInCountry
    Indicates that an entity is located, based, or situated within the boundaries of a specified country.
  • D. locatedInSubnationalEntity
    Indicates that one entity is geographically or administratively situated within a specific subnational division, such as a state, province, or region.
  • E. locatedIn chosen
    Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
  • 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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a5e4a7c8190830b5ad9762ece46 completed April 1, 2026, 10:21 p.m.
PD Predicate disambiguation batch_69ccd5a6fd2481908efd131e207b8143 completed April 1, 2026, 8:21 a.m.
Created at: March 30, 2026, 8:08 p.m.