Triple

T36987730
Position Surface form Disambiguated ID Type / Status
Subject Kingmambo E915008 entity
Predicate primaryRacingBase P205678 FINISHED
Object France E861 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: France | Statement: [Kingmambo, primaryRacingBase, France]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryRacingBase
Context triple: [Kingmambo, primaryRacingBase, France]
  • A. primaryRaceType
    Indicates the main or predominant race category associated with an entity, as opposed to any secondary or additional race classifications.
  • B. primaryTeam
    Indicates that one entity is the main or principal team associated with another entity, such as a person, project, or organization.
  • C. primaryFor
    Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
  • D. primaryTournament
    Indicates that a given tournament is the main or most important competition associated with an entity (such as a player, team, or season).
  • E. racingNumber
    Indicates that an entity has been assigned a specific competition or race identification number used to distinguish it from other participants.
  • 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_69f76e8dd0408190b8b46da118ea5128 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a037cad051c8190b28b354b89208574 completed May 12, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e2c2e2a508190aa95d9881b4ce3a4 completed June 26, 2026, 7:37 a.m.
PD Predicate disambiguation batch_6a037a10036481909c71188b2a0e7f04 completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c842b2c819082f1d2db995ac2eb completed May 12, 2026, 7:16 p.m.
Created at: May 3, 2026, 4:14 p.m.