Triple

T35208160
Position Surface form Disambiguated ID Type / Status
Subject Dis-arm-her E1016596 entity
Predicate appliedFromPosition P108545 FINISHED
Object standing position transition to mat 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: standing position transition to mat | Statement: [Dis-arm-her, appliedFromPosition, standing position transition to mat]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliedFromPosition
Context triple: [Dis-arm-her, appliedFromPosition, standing position transition to mat]
  • A. appliedFrom chosen
    Indicates that an application or request was initiated starting at or originating from a particular source, location, or context.
  • B. appliesToPosition
    Indicates that something (such as a rule, condition, or attribute) is relevant or applicable to a specific position or role.
  • C. appliedAs
    Indicates that one entity submitted itself or was put forward for consideration in a particular role, position, or context relative to another entity.
  • D. appliesFrom
    Indicates that a rule, condition, or effect begins to be applicable starting from a specific point in time or state.
  • E. appliesAt
    Indicates that an action, rule, or condition is relevant to or in effect at a specific location, context, or point in time.
  • 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_69f76ddf549c8190869d0af076fd2c28 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff397e19a88190a945b826159f5290 completed May 9, 2026, 1:41 p.m.
PD Predicate disambiguation batch_69ff392400d0819088d30d08d4a774bd completed May 9, 2026, 1:39 p.m.
Created at: May 3, 2026, 4:02 p.m.