Triple

T6652255
Position Surface form Disambiguated ID Type / Status
Subject NBA All-Rookie First Team 2006-2007 E150849 entity
Predicate positionFlexibility P72080 FINISHED
Object not strictly by traditional positions 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: not strictly by traditional positions | Statement: [NBA All-Rookie First Team 2006-2007, positionFlexibility, not strictly by traditional positions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionFlexibility
Context triple: [NBA All-Rookie First Team 2006-2007, positionFlexibility, not strictly by traditional positions]
  • A. positionOnHumanAbility
    Indicates a stance, evaluation, or belief regarding the capabilities, limitations, or potential of human abilities.
  • B. positionUse
    Indicates how a particular position or role is utilized or functionally applied within a given context.
  • C. creditFlexibility
    Indicates that one party allows adaptable or negotiable credit terms, limits, or repayment conditions for another party.
  • D. ability
    Indicates that an entity has the capacity or power to perform a particular action or achieve a specific outcome.
  • E. positioning
    Indicates the spatial or contextual arrangement of one entity relative to another or within a given environment.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6cc9c6cb0819084fec8e0beb430de completed March 27, 2026, 6:29 p.m.
PD Predicate disambiguation batch_69c6ad071b0081909b96dd4b93414bd1 completed March 27, 2026, 4:15 p.m.
PDg Predicate description generation batch_69c6cc988c0081909d22b86ca299331c completed March 27, 2026, 6:29 p.m.
Created at: March 27, 2026, 2:01 p.m.