Triple

T21900492
Position Surface form Disambiguated ID Type / Status
Subject La Sirena E540793 entity
Predicate hasDeflectorShields P127753 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: [La Sirena, hasDeflectorShields, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDeflectorShields
Context triple: [La Sirena, hasDeflectorShields, yes]
  • A. hasShieldCharge
    Indicates that an entity performs or possesses the ability to execute a charging attack using a shield against another entity or target.
  • B. shipDefenseType chosen
    Indicates the specific kind of defensive system or protection mechanism that a ship employs.
  • C. hasShieldBearer
    Indicates that one entity serves as the shield-bearing protector or defensive attendant for another entity.
  • D. hasArmorPlating
    Indicates that one entity is equipped with or covered by protective armor plating in relation to another entity or context.
  • E. hasDefenderStrength
    Indicates that an entity possesses a certain level or measure of defensive capability or protective power.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fca2bf88190b2a5b912aa102513 completed April 28, 2026, 8:59 p.m.
PD Predicate disambiguation batch_69e6be9ebf4c8190892df1a8e1313f88 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 7:07 p.m.