Triple

T36821996
Position Surface form Disambiguated ID Type / Status
Subject Atlacomulco E909909 entity
Predicate hasPoliticalReputationFor P28799 FINISHED
Object influence in Mexican politics 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: influence in Mexican politics | Statement: [Atlacomulco, hasPoliticalReputationFor, influence in Mexican politics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPoliticalReputationFor
Context triple: [Atlacomulco, hasPoliticalReputationFor, influence in Mexican politics]
  • A. hasPoliticalCharacteristic
    Indicates that an entity possesses a specific political attribute, quality, or affiliation.
  • B. refersToPersonReputation
    Indicates that something is about, concerns, or makes reference to a particular person's reputation.
  • C. hasPoliticalSignificanceAs
    Indicates that something holds a particular kind or role of political importance or relevance in relation to another entity or context.
  • D. domesticReputation
    Indicates the level or nature of how an entity is regarded or perceived within its own country or internal context.
  • E. hasPoliticalSignificanceFor chosen
    Indicates that something holds importance, influence, or consequence within the political context or interests of a particular 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_69f76e7dd13c81908c60b05adb49eeb5 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69ff9d9cb4f8819083682be3c483b599 completed May 9, 2026, 8:48 p.m.
PD Predicate disambiguation batch_69ff9c38bf9c8190bbb85b32f3ae3d2e completed May 9, 2026, 8:42 p.m.
Created at: May 3, 2026, 4:13 p.m.