Triple

T12190143
Position Surface form Disambiguated ID Type / Status
Subject Gulf Coast theater of the Mexican–American War E290438 entity
Predicate opposedStrategicObjective P16720 FINISHED
Object Mexican defense of coastal access to the interior 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 defense of coastal access to the interior | Statement: [Gulf Coast theater of the Mexican–American War, opposedStrategicObjective, Mexican defense of coastal access to the interior]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: opposedStrategicObjective
Context triple: [Gulf Coast theater of the Mexican–American War, opposedStrategicObjective, Mexican defense of coastal access to the interior]
  • A. opponentObjective chosen
    Indicates that one entity is the target or goal that an opposing entity aims to counter, defeat, or prevent from succeeding.
  • B. opposedBy
    Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
  • C. opposedSiegeBy
    Indicates that one party actively resisted, countered, or worked against another party’s siege.
  • D. theoryOpposed
    Indicates that one theory stands in opposition to, or conflicts with, another theory.
  • E. positionOpposed
    Indicates that two entities hold positions or stances that are in direct conflict or opposition to each other.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d938cd2edc8190b1971349dbc0dee0 completed April 10, 2026, 5:52 p.m.
PD Predicate disambiguation batch_69d91c38321c819080d500d0d64a04f6 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:50 p.m.