Triple

T13374979
Position Surface form Disambiguated ID Type / Status
Subject Coat of arms of Kenya E319160 entity
Predicate weaponCount P103095 FINISHED
Object 2 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: 2 | Statement: [Coat of arms of Kenya, weaponCount, 2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: weaponCount
Context triple: [Coat of arms of Kenya, weaponCount, 2]
  • A. weaponsUsed
    Indicates that one entity employed or utilized another entity as a weapon in carrying out an action or event.
  • B. armamentCount chosen
    Indicates the number of weapons or armaments associated with an entity.
  • C. weaponsBay
    Indicates that one entity serves as the weapons bay (storage or housing area for weapons) of another entity.
  • D. numberOfGuns
    Indicates the quantity of guns associated with a given entity or situation.
  • E. typeOfWeaponsStockpile
    Indicates that one entity specifies the kind or category of weapons contained within another entity’s stockpile.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcda64a48190b53243a763cd175b completed April 11, 2026, 11:44 p.m.
PD Predicate disambiguation batch_69d9a02c9abc8190b328e7bae747bfc5 completed April 11, 2026, 1:13 a.m.
Created at: April 9, 2026, 9:33 p.m.