Triple

T18841368
Position Surface form Disambiguated ID Type / Status
Subject Franches-Montagnes horse E460803 entity
Predicate conformationFeature P133127 FINISHED
Object well-muscled neck 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: well-muscled neck | Statement: [Franches-Montagnes horse, conformationFeature, well-muscled neck]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: conformationFeature
Context triple: [Franches-Montagnes horse, conformationFeature, well-muscled neck]
  • A. compositionalFeature
    Indicates that one entity is a structural or constituent feature that forms part of the composition or makeup of another entity.
  • B. confluenceCharacteristic
    Indicates a characteristic or property that specifically pertains to the confluence or merging point of two or more entities.
  • C. metricalFeature
    Indicates a relationship where one entity specifies or characterizes a metrical property or pattern of another entity.
  • D. spanFeature
    Indicates a relationship where a feature or characteristic extends across or covers a specified span or interval.
  • E. conformanceType
    Indicates the specific manner or degree to which one entity adheres to, complies with, or satisfies the requirements, rules, or expectations defined by another.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8ea35c88190af6659551ad18130 completed April 20, 2026, 5:26 a.m.
PD Predicate disambiguation batch_69e48d1e7dac81909ea1e758c87773c5 completed April 19, 2026, 8:06 a.m.
PDg Predicate description generation batch_69e49785fd7081909577e90a55df0a35 completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 11:56 a.m.