Triple

T35379465
Position Surface form Disambiguated ID Type / Status
Subject Movement for France E1022603 entity
Predicate socialIssuePosition P25878 FINISHED
Object opposition to same-sex marriage 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: opposition to same-sex marriage | Statement: [Movement for France, socialIssuePosition, opposition to same-sex marriage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: socialIssuePosition
Context triple: [Movement for France, socialIssuePosition, opposition to same-sex marriage]
  • A. socialIssue
    Indicates a relationship where something is recognized or treated as a problem or concern affecting society or a community at large.
  • B. politicalIssueIn
    Indicates that a political issue is relevant to, occurs within, or is associated with a particular geographic or political region.
  • C. politicalIssueFor chosen
    Indicates a relationship where a particular topic, problem, or policy area is considered a matter of political concern or debate for a given entity.
  • D. portraysSocialIssue
    Indicates that an entity depicts, represents, or brings attention to a social problem or concern within its content or context.
  • E. socialConcern
    Indicates a relationship where an entity is concerned about, attentive to, or actively engaged with social issues, problems, or well-being.
  • 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_69f76df28d8c819089f2c5799fe7d079 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fb563aec448190875410fb1a3ed624 completed May 6, 2026, 2:54 p.m.
PD Predicate disambiguation batch_69fb35b9ede881908aaae93a215525df completed May 6, 2026, 12:36 p.m.
Created at: May 3, 2026, 4:03 p.m.