Triple

T670040
Position Surface form Disambiguated ID Type / Status
Subject Knights Hospitaller E12949 entity
Predicate hadMembersFrom P13980 FINISHED
Object France E861 NE FINISHED

How this triple was built (3 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: France | Statement: [Knights Hospitaller, hadMembersFrom, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France
Context triple: [Knights Hospitaller, hadMembersFrom, France]
  • A. France chosen
    France is a major Western European nation known for its influential history, culture, and economy, and as a founding member of the European Union and the United Nations.
  • B. France Ô
    France Ô was a French public television channel dedicated to programming from France’s overseas departments and territories, operated by the France Télévisions group.
  • C. France 5
    France 5 is a French public television channel known for its focus on educational, cultural, and documentary programming.
  • D. France 4
    France 4 is a French public television channel, part of the France Télévisions group, known for broadcasting youth-oriented and family entertainment programming.
  • E. Kingdom of France
    The Kingdom of France was a major European monarchy that emerged as a powerful centralized state, playing a decisive role in continental politics, culture, and religion from the Middle Ages through the early modern period.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadMembersFrom
Context triple: [Knights Hospitaller, hadMembersFrom, France]
  • A. hadMember
    Indicates that an entity was formerly a member or part of another entity or group.
  • B. hasMembers
    Indicates that a group, organization, or collection includes certain entities as its members.
  • C. hasMemberFrom chosen
    Indicates that a group, organization, or collection includes at least one member originating from or belonging to a specified source, place, or category.
  • D. wouldHaveHadMembers
    Indicates a hypothetical or counterfactual relationship in which an entity, under certain conditions or in an unrealized scenario, would have included specific members.
  • E. formerMemberOf
    Indicates that an entity once belonged to or was affiliated with a group, organization, or body, but is no longer a member.
  • F. None of above.

Provenance (4 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a1b3682c8190a9b9a454480c3446 completed March 1, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dc91ff30819095a00852c3e2dfae completed March 2, 2026, 6:53 p.m.
PD Predicate disambiguation batch_69a49d1a16c48190af89e3b078a4957e completed March 1, 2026, 8:10 p.m.
Created at: March 1, 2026, 7:36 p.m.