Triple

T1652115
Position Surface form Disambiguated ID Type / Status
Subject Republic of Yucatán E35714 entity
Predicate politicalConflictWith P24891 FINISHED
Object centralist Mexican government 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: centralist Mexican government | Statement: [Republic of Yucatán, politicalConflictWith, centralist Mexican government]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalConflictWith
Context triple: [Republic of Yucatán, politicalConflictWith, centralist Mexican government]
  • A. politicalConflict chosen
    Indicates a relationship where entities are engaged in opposing political positions, struggles, or disputes, often involving competition for power, influence, or policy outcomes.
  • B. religiousConflictBetween
    Indicates a relationship where two entities are in opposition or dispute due to differing religious beliefs, practices, or affiliations.
  • C. conflictIn
    Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
  • D. militaryConflict
    Indicates a relationship where two or more parties are engaged in organized, armed hostilities or warfare against each other.
  • E. conflictBelligerent
    Indicates that an entity is a participating belligerent (e.g., a country, group, or force) in a specific conflict.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aaa0fbe984819084f8daee81ca9b67 completed March 6, 2026, 9:40 a.m.
PD Predicate disambiguation batch_69a907ce4dd881909168a1e99505d4ec completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:29 p.m.