Triple

T21910576
Position Surface form Disambiguated ID Type / Status
Subject Afghanistan Campaign Medal E541046 entity
Predicate campaignStarsRepresent P29655 FINISHED
Object participation in designated Afghanistan campaigns 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: participation in designated Afghanistan campaigns | Statement: [Afghanistan Campaign Medal, campaignStarsRepresent, participation in designated Afghanistan campaigns]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: campaignStarsRepresent
Context triple: [Afghanistan Campaign Medal, campaignStarsRepresent, participation in designated Afghanistan campaigns]
  • A. campaignStarFor
    Indicates that an entity serves as a featured representative or primary promotional figure in a specific campaign.
  • B. numberOfCampaignStarsPossible
    Indicates the total number of stars that can potentially be earned in a given campaign.
  • C. hasStars
    Indicates that an entity possesses or is associated with one or more stars.
  • D. smallStarsRepresent chosen
    Indicates that small stars are used as symbols or markers to stand for or denote something else.
  • E. largeStarRepresents
    Indicates that a large star symbol is used to stand for or denote a particular entity, concept, or value.
  • 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_69e0c47c4b9c8190a5586a75f5f36453 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d9796881909fc1454a7b61b8fe completed April 28, 2026, 9:08 p.m.
PD Predicate disambiguation batch_69e6be9ebf4c8190892df1a8e1313f88 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 7:40 p.m.