Triple

T3932640
Position Surface form Disambiguated ID Type / Status
Subject 27th Armoured Brigade E90829 entity
Predicate specialRole P52608 FINISHED
Object armoured assault support 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: armoured assault support | Statement: [27th Armoured Brigade, specialRole, armoured assault support]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: specialRole
Context triple: [27th Armoured Brigade, specialRole, armoured assault support]
  • A. secretRole
    Indicates that an entity holds a role or function that is intentionally hidden or not publicly disclosed within a given context.
  • B. possibleRole
    Indicates that an entity is capable of or eligible to serve in a particular role or function in a given context.
  • C. specialAppearance
    Indicates that an entity makes a notable or exceptional appearance distinct from its usual or regular presence.
  • D. effectiveRole
    Indicates the functional role or capacity an entity actually performs or holds in a given context, regardless of its formal or nominal designation.
  • E. specialValue
    Indicates that an entity possesses a distinguished or exceptional value compared to typical or default values in the given context.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedaaf3c881909539831bf3a8bf10 completed March 9, 2026, 3:56 p.m.
PD Predicate disambiguation batch_69aee7625ad4819097e4e8a168c19274 completed March 9, 2026, 3:29 p.m.
PDg Predicate description generation batch_69aeed3260cc8190bf294bdab507b1f9 completed March 9, 2026, 3:54 p.m.
Created at: March 9, 2026, 3:23 p.m.