Triple

T38593210
Position Surface form Disambiguated ID Type / Status
Subject Helix Rockets E932500 entity
Predicate canDamage P32756 FINISHED
Object multiple enemies 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: multiple enemies | Statement: [Helix Rockets, canDamage, multiple enemies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canDamage
Context triple: [Helix Rockets, canDamage, multiple enemies]
  • A. damageTo chosen
    Indicates a relationship where one entity causes harm, loss, or deterioration to another entity.
  • B. canDamageFriendlyCharacters
    Indicates that an entity’s actions or effects are capable of harming or inflicting damage on allied or friendly characters.
  • C. damageLeadsTo
    Indicates that one instance of damage causally results in or contributes to another specified outcome or condition.
  • D. hasTypeOfDamage
    Indicates that an entity experiences or exhibits a specific kind or category of damage.
  • E. hasDam
    Indicates that a watercourse, reservoir, or similar feature is impounded or controlled by a specific dam.
  • 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_69fcdb0de8c08190928cd1323f80ab5c completed May 7, 2026, 6:33 p.m.
PD Predicate disambiguation batch_69fcd9017dd88190b32a73fe78909740 completed May 7, 2026, 6:25 p.m.
Created at: May 3, 2026, 4:32 p.m.