Triple

T38402701
Position Surface form Disambiguated ID Type / Status
Subject Muhaarar E900942 entity
Predicate firstGroupWin P204639 FINISHED
Object 2014 Gimcrack Stakes E1296425 NE 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: 2014 Gimcrack Stakes | Statement: [Muhaarar, firstGroupWin, 2014 Gimcrack Stakes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstGroupWin
Context triple: [Muhaarar, firstGroupWin, 2014 Gimcrack Stakes]
  • A. firstWinner
    Indicates that the subject is the entity who achieved first place or victory in the referenced event or competition.
  • B. firstWinnerTeam
    Indicates that the referenced team is the one that secured first place or victory in a given competition or event.
  • C. firstWinnerNote
    Indicates that the note or annotation pertains specifically to the first winner in a competitive or ranked context.
  • D. firstWinCircuit
    Indicates that an entity achieved its first victory in a particular circuit or competitive series.
  • E. firstRunningWinner
    Indicates that the subject is the first entity to win among those participating in a running event or race.
  • F. None of above. chosen

Provenance (5 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_69f76e6071a081909eea7a670d21420c completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a037cae084081909004d77514c5f286 completed May 12, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41c281da148190bc3d12f6df45109e completed June 29, 2026, 12:55 a.m.
PD Predicate disambiguation batch_6a037a1c850c819088795a7ae59bdeb8 completed May 12, 2026, 7:06 p.m.
PDg Predicate description generation batch_6a037c84ecbc81908232e5215355f43b completed May 12, 2026, 7:16 p.m.
Created at: May 3, 2026, 4:31 p.m.