Triple

T13132410
Position Surface form Disambiguated ID Type / Status
Subject Limerick fighting (1922) E311994 entity
Predicate hasPartInvolved P34269 FINISHED
Object pro-Treaty forces 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: pro-Treaty forces | Statement: [Limerick fighting (1922), hasPartInvolved, pro-Treaty forces]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPartInvolved
Context triple: [Limerick fighting (1922), hasPartInvolved, pro-Treaty forces]
  • A. hasPeopleInvolved
    Indicates that certain people participate in, are associated with, or are otherwise involved in the referenced entity or event.
  • B. hasBeenInvolvedIn
    Indicates that an entity has participated in, taken part in, or been connected to a particular event, activity, or situation.
  • C. hasMemberInvolvedIn chosen
    Indicates that a group or collective entity has at least one of its members participating in or engaged with a specified activity, event, or situation.
  • D. hasStateInvolved
    Indicates that a particular state (as a political or administrative entity) participates in, is implicated in, or plays a role within a given situation, event, or relationship.
  • E. mayBeInvolvedIn
    Indicates that an entity has a possible, but not certain, participation or role in a particular event, activity, or situation.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981b27a8c81909a92ab7be5d3a7e9 completed April 10, 2026, 11:03 p.m.
PD Predicate disambiguation batch_69d98043a74c81908648e6cd0b4c7f71 completed April 10, 2026, 10:57 p.m.
Created at: April 9, 2026, 9:08 p.m.