Triple

T38593591
Position Surface form Disambiguated ID Type / Status
Subject Fan of Blades E932509 entity
Predicate firesProjectilesPerUse P191274 FINISHED
Object three shuriken 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: three shuriken | Statement: [Fan of Blades, firesProjectilesPerUse, three shuriken]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firesProjectilesPerUse
Context triple: [Fan of Blades, firesProjectilesPerUse, three shuriken]
  • A. fireUse
    Indicates the use or application of fire by one entity on, with, or for another entity or object.
  • B. ammoConsumptionPerUse chosen
    Indicates the amount of ammunition that is used up each time the associated action or item is used.
  • C. rateOfFire
    Indicates the frequency at which a weapon or system can discharge projectiles or shots over a given period of time.
  • D. numberOfShotsFired
    Indicates the total count of shots that were discharged in the described event or action.
  • E. hasFiringRange
    Indicates that one entity possesses or provides a designated area or capability for discharging weapons over a specified distance.
  • 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_69f76ec654d48190b421111cf26e54d9 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcdfbc71c481908ba7f87907b17782 completed May 7, 2026, 6:53 p.m.
PD Predicate disambiguation batch_69fcdbe580b8819087f143596b2c79c0 completed May 7, 2026, 6:37 p.m.
Created at: May 3, 2026, 4:32 p.m.