Triple

T28077897
Position Surface form Disambiguated ID Type / Status
Subject Saar Statute E709594 entity
Predicate wouldHaveMaintained P164391 FINISHED
Object economic union of Saar with France 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: economic union of Saar with France | Statement: [Saar Statute, wouldHaveMaintained, economic union of Saar with France]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wouldHaveMaintained
Context triple: [Saar Statute, wouldHaveMaintained, economic union of Saar with France]
  • A. wouldHaveHeldPosition
    Indicates that an entity was expected or intended to occupy a particular role or office, but did not actually hold it in reality.
  • B. wouldHaveEstablished chosen
    Indicates a hypothetical or counterfactual situation in which an entity was expected or intended to establish something (such as a state, condition, or relationship) but did not actually do so.
  • C. wouldHaveBeenStyle
    Indicates a hypothetical or counterfactual stylistic relationship, describing how something’s style would have been under different circumstances.
  • D. hasMaintained
    Indicates that an entity has continued to keep another entity in a particular state, condition, or relationship over a period of time.
  • E. wouldHaveHadMembers
    Indicates a hypothetical or counterfactual relationship in which an entity, under certain conditions or in an unrealized scenario, would have included specific members.
  • 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_69ef9b6f8078819098b741274cd1a2ee completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f64dbbaefc8190952b8320bf4397d8 completed May 2, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69f64cacd2c08190aed8a1761d0da679 completed May 2, 2026, 7:12 p.m.
Created at: April 27, 2026, 8:50 p.m.