Triple

T38644982
Position Surface form Disambiguated ID Type / Status
Subject Devourer E938691 entity
Predicate specialEffect P194594 FINISHED
Object adds Acid Spores to enemy air units 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: adds Acid Spores to enemy air units | Statement: [Devourer, specialEffect, adds Acid Spores to enemy air units]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: specialEffect
Context triple: [Devourer, specialEffect, adds Acid Spores to enemy air units]
  • A. specialEffectsBy
    Indicates that the special effects for something (such as a film, scene, or shot) are created or provided by a particular person or entity.
  • B. ultimateEffect
    Indicates the final or overall outcome that results from a preceding action, condition, or sequence of events.
  • C. magicEffect
    Indicates that one entity produces, carries, or is associated with a supernatural or magical effect on another entity or on the environment.
  • D. specialEffectsTechnique
    Indicates a relationship where a particular special effects method or process is used to create or enhance visual or auditory effects in a production.
  • E. notableEffect
    Indicates that one entity has a significant impact, consequence, or influence on another entity or situation.
  • F. None of above. chosen

Provenance (4 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_69f76ed948ec81908ce7811608a8f359 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fd7b0503a08190ba07338365b6fcc9 completed May 8, 2026, 5:56 a.m.
PD Predicate disambiguation batch_69fd7a9733dc81909199f453c0cc2bc1 completed May 8, 2026, 5:54 a.m.
PDg Predicate description generation batch_69fd7b042a548190b3abe31bc3258278 completed May 8, 2026, 5:56 a.m.
Created at: May 3, 2026, 4:32 p.m.