Triple

T29106945
Position Surface form Disambiguated ID Type / Status
Subject Igo E736785 entity
Predicate hasCaptureMechanic P191313 FINISHED
Object surrounding opponent stones 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: surrounding opponent stones | Statement: [Igo, hasCaptureMechanic, surrounding opponent stones]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCaptureMechanic
Context triple: [Igo, hasCaptureMechanic, surrounding opponent stones]
  • A. hasTriggerMechanism
    Indicates that an entity possesses or is equipped with a specific mechanism used to initiate or activate an action or process.
  • B. hasMechanism
    Indicates that one entity operates, functions, or produces an effect through the specified mechanism or process.
  • C. capturableWith chosen
    Indicates that one entity can be captured or taken control of using a specified tool, method, or resource.
  • D. hasMechanicalFeature
    Indicates that one entity possesses, includes, or is characterized by a specific mechanical component, attribute, or functionality.
  • E. haveHighLevelMechanism
    Indicates that an entity possesses or is associated with a high-level, abstract mechanism explaining how something works or occurs.
  • 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_69f077ec765c81909474c88bcc8bab43 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69fd474b7e788190a9bb9b542d878f60 completed May 8, 2026, 2:15 a.m.
PD Predicate disambiguation batch_69fd46d8b2f0819099d92d72c902f60e completed May 8, 2026, 2:13 a.m.
Created at: April 28, 2026, 11:16 a.m.