Triple

T9935480
Position Surface form Disambiguated ID Type / Status
Subject Wilmès II Government E192748 entity
Predicate numberOfOpposingVotesInChamber P91235 FINISHED
Object 44 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: 44 | Statement: [Wilmès II Government, numberOfOpposingVotesInChamber, 44]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfOpposingVotesInChamber
Context triple: [Wilmès II Government, numberOfOpposingVotesInChamber, 44]
  • A. numberOfOppositionSenators
    Indicates the quantity of senators who belong to or align with an opposition group relative to a specified reference (such as a government, party, or proposal).
  • B. numberOfDelegatesOpposingRatification
    Indicates the count of delegates who are against approving or ratifying a particular proposal, agreement, or decision.
  • C. oppositionPercentage
    Indicates the proportion of entities or participants that are in opposition to a given proposal, action, or subject relative to the whole.
  • D. senateVoteTallyFor
    Indicates the recorded vote count or outcome in the senate for a particular measure, motion, or item.
  • E. opposedConference
    Indicates that one entity actively resists, counters, or works against another entity within the context of a conference or formal gathering.
  • F. None of above. chosen

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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e3bfa88190a88f20f2687a2583 completed April 2, 2026, 12:18 a.m.
PD Predicate disambiguation batch_69cd1d9428cc81909b4b4938566d78a7 completed April 1, 2026, 1:28 p.m.
PDg Predicate description generation batch_69cd358386f48190833c862b5b8c04b2 completed April 1, 2026, 3:10 p.m.
Created at: March 30, 2026, 8:44 p.m.