Triple

T5349223
Position Surface form Disambiguated ID Type / Status
Subject Monseigneur E124131 entity
Predicate usedPrimarilyFor P56223 FINISHED
Object single specific person during Louis XIV’s reign 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: single specific person during Louis XIV’s reign | Statement: [Monseigneur, usedPrimarilyFor, single specific person during Louis XIV’s reign]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedPrimarilyFor
Context triple: [Monseigneur, usedPrimarilyFor, single specific person during Louis XIV’s reign]
  • A. usedPrimarilyIn
    Indicates that something is mainly or most commonly employed within a particular context, domain, or purpose.
  • B. primarilyFor chosen
    Indicates that something is mainly intended, designed, or used for a particular purpose, function, or beneficiary, even if it may have secondary uses.
  • C. usedFor
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • D. primarilyUsedBy
    Indicates that something is mainly or most commonly used by a particular entity or group.
  • E. appliesPrimarilyTo
    Indicates that a property, rule, or characteristic is mainly relevant or intended for a particular entity or group, more than for others.
  • 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd860ea7088190ad7be14132927d17 completed March 20, 2026, 5:38 p.m.
PD Predicate disambiguation batch_69bd845c6f108190832a8d14b356368a completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:01 p.m.