Triple

T12306171
Position Surface form Disambiguated ID Type / Status
Subject IBF light welterweight title E293357 entity
Predicate divisionRange P28992 FINISHED
Object above lightweight and below welterweight 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: above lightweight and below welterweight | Statement: [IBF light welterweight title, divisionRange, above lightweight and below welterweight]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: divisionRange
Context triple: [IBF light welterweight title, divisionRange, above lightweight and below welterweight]
  • A. rangeOf chosen
    Indicates that one entity specifies the set of possible values (range) that another entity’s outputs or properties can take.
  • B. dividedBetween
    Indicates that something is partitioned or shared among two or more distinct entities or groups.
  • C. divisionFrequency
    Indicates how often a division event occurs within a given context or time frame.
  • D. divisionRenamedFrom
    Indicates that a division currently known by one name was previously known by another specified name.
  • E. divisionIncluded
    Indicates that one division is contained within or forms a part of another division.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f621570819091ee1db2609233ea completed April 10, 2026, 6:20 p.m.
PD Predicate disambiguation batch_69d93ec02c008190a56aae60a3d9eff6 completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:53 p.m.