Triple

T14483210
Position Surface form Disambiguated ID Type / Status
Subject Cabinet-Den Uyl E359161 entity
Predicate coalitionConflict P24891 FINISHED
Object tensions between Labour Party and Christian-democratic parties 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: tensions between Labour Party and Christian-democratic parties | Statement: [Cabinet-Den Uyl, coalitionConflict, tensions between Labour Party and Christian-democratic parties]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coalitionConflict
Context triple: [Cabinet-Den Uyl, coalitionConflict, tensions between Labour Party and Christian-democratic parties]
  • A. conflictOrCooperationWith
    Indicates the presence, nature, or degree of either conflict or cooperation between two entities.
  • B. 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.
  • C. conflictIn
    Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
  • D. causeOfPoliticalConflict
    Indicates that one entity is the source or reason for a political conflict involving another entity.
  • E. conflictCountry
    Indicates that there is an armed conflict or war involving the referenced country as a participant.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924d7f4c8190b1f62b5ffe1ff649 completed April 14, 2026, 7:15 p.m.
PD Predicate disambiguation batch_69de5c487b4c819097803e58dca628a5 completed April 14, 2026, 3:24 p.m.
Created at: April 10, 2026, 1:20 a.m.