Triple

T4027143
Position Surface form Disambiguated ID Type / Status
Subject Royal Canadian Air Force ensign E83617 entity
Predicate fieldRepresents P53520 FINISHED
Object sky 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: sky | Statement: [Royal Canadian Air Force ensign, fieldRepresents, sky]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fieldRepresents
Context triple: [Royal Canadian Air Force ensign, fieldRepresents, sky]
  • A. field3Represents
    Indicates that the third field in a data structure or record serves as a representation or encoding of some specific value, concept, or attribute.
  • B. field4Represents
    Indicates that the fourth field in a structured record encodes or stands for a particular value, concept, or attribute rather than containing a literal or direct value.
  • C. componentRepresents
    Indicates that one component stands in for, symbolizes, or models another entity or concept within a system or context.
  • D. memberRepresents
    Indicates that one entity serves as an official representative or delegate acting on behalf of another entity within a group, organization, or body.
  • E. representsInRelationsWith
    Indicates that an entity serves as a representative or proxy for another entity within a specified relationship or set of relationships.
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaed37e48190844032e7e77163e0 completed March 9, 2026, 4:53 p.m.
PD Predicate disambiguation batch_69aef8fc78ec819092d4dab88d85a141 completed March 9, 2026, 4:44 p.m.
PDg Predicate description generation batch_69aefa815f2c8190818c9ffd9d1bf478 completed March 9, 2026, 4:51 p.m.
Created at: March 9, 2026, 3:36 p.m.