Triple

T11834973
Position Surface form Disambiguated ID Type / Status
Subject Xabi Alonso E281490 entity
Predicate tacticsReputation P17511 FINISHED
Object possession-based football 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: possession-based football | Statement: [Xabi Alonso, tacticsReputation, possession-based football]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tacticsReputation
Context triple: [Xabi Alonso, tacticsReputation, possession-based football]
  • A. tacticalReputation chosen
    Indicates the perceived level of skill, reliability, or effectiveness an entity has in planning and executing tactics within a given context.
  • B. denotesReputationOf
    Indicates that one entity represents, expresses, or serves as an indicator of the reputation or perceived standing of another entity.
  • C. scoringReputation
    Indicates that one entity evaluates and assigns a reputation-related score to another entity based on its behavior or performance.
  • D. terrainReputation
    Indicates how an entity is regarded or perceived based on its performance, behavior, or influence within a particular type of terrain or environmental setting.
  • E. placeInReputation
    Indicates that an entity holds a particular standing, status, or level within a reputation or ranking system.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62e7e408190998bebe346c82e89 completed April 10, 2026, 7:26 a.m.
PD Predicate disambiguation batch_69d8a254a57481908a1e6ad97919c416 completed April 10, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:43 p.m.