Triple

T14144642
Position Surface form Disambiguated ID Type / Status
Subject Angel of the Battlefield E350512 entity
Predicate hasReferentKnownFor P112986 FINISHED
Object bringing medical supplies directly to battlefields 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: bringing medical supplies directly to battlefields | Statement: [Angel of the Battlefield, hasReferentKnownFor, bringing medical supplies directly to battlefields]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReferentKnownFor
Context triple: [Angel of the Battlefield, hasReferentKnownFor, bringing medical supplies directly to battlefields]
  • A. hasMainReferent
    Indicates that one entity serves as the primary or central referent for another entity within a given context.
  • B. hasLiteralReferent
    Indicates that a linguistic expression directly refers to a specific, concrete entity or value rather than to an abstract or interpreted meaning.
  • C. hasRealmOfReferent
    Indicates that something is associated with, or pertains to, a particular realm, domain, or scope of reference.
  • D. isReferencedIn
    Indicates that one entity is cited, mentioned, or otherwise referred to within another entity.
  • E. hasReferences
    Indicates that one entity cites, points to, or relies on another entity as a reference or source.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61214de081909a5186ff11336f97 completed April 14, 2026, 3:45 p.m.
PD Predicate disambiguation batch_69de05b5e7a08190a16be9ad8b92b80c completed April 14, 2026, 9:15 a.m.
PDg Predicate description generation batch_69de239a02e881909b0e2679487e4ab2 completed April 14, 2026, 11:23 a.m.
Created at: April 10, 2026, 12:53 a.m.