Triple

T36960517
Position Surface form Disambiguated ID Type / Status
Subject Chaingun E914294 entity
Predicate playerCanAcquire P188361 FINISHED
Object Yes 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: Yes | Statement: [Chaingun, playerCanAcquire, Yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: playerCanAcquire
Context triple: [Chaingun, playerCanAcquire, Yes]
  • A. canGain chosen
    Indicates that one entity has the potential or ability to obtain, acquire, or increase something from another entity or source.
  • B. canTradeWithPlayer
    Indicates that an entity is allowed to engage in trading interactions or exchanges with a player.
  • C. canBeEarnedBy
    Indicates that something (such as a reward, status, or resource) is obtainable through the actions, efforts, or qualifications of a particular entity.
  • D. canEarnOn
    Indicates that an entity is able or permitted to receive or generate earnings from another entity, source, or activity.
  • E. canBorrowFrom
    Indicates that one entity is permitted or able to borrow something (such as resources, items, or privileges) from another entity.
  • 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_69f76e8c498c8190b2842db80aea8b3b completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fd68abf52881909c5a390c362b7c59 completed May 8, 2026, 4:38 a.m.
PD Predicate disambiguation batch_69fd6812d0c88190930d8fa2d4b92490 completed May 8, 2026, 4:35 a.m.
Created at: May 3, 2026, 4:13 p.m.