Triple

T28185793
Position Surface form Disambiguated ID Type / Status
Subject Carles Puyol E716173 entity
Predicate hallmarkTraits P128575 FINISHED
Object physical toughness 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: physical toughness | Statement: [Carles Puyol, hallmarkTraits, physical toughness]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hallmarkTraits
Context triple: [Carles Puyol, hallmarkTraits, physical toughness]
  • A. distinguishingTrait chosen
    Indicates that a particular characteristic or feature uniquely differentiates one entity from another.
  • B. genomeCharacteristic
    Indicates that an entity has a specific property, feature, or attribute related to its genome.
  • C. typicalFeatures
    Indicates that the related entities are characteristic or commonly occurring features or attributes of something.
  • D. spanCharacteristic
    Indicates that one entity has a particular measurable or descriptive property that characterizes the extent, duration, or range of another entity or phenomenon.
  • E. biologicalCharacteristic
    Indicates that one entity possesses or exhibits a particular biological trait, feature, or property in relation to another.
  • 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_69efd6b4fc5c81909dd88f01a8c2b35d completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f643ed0b7481908cf25f3afec0a61d completed May 2, 2026, 6:35 p.m.
PD Predicate disambiguation batch_69f641def1e88190a05bf865ced78b23 completed May 2, 2026, 6:26 p.m.
Created at: April 27, 2026, 10:22 p.m.