Triple

T7512317
Position Surface form Disambiguated ID Type / Status
Subject Lark Force E177549 entity
Predicate assignedRole P16628 FINISHED
Object garrison force 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: garrison force | Statement: [Lark Force, assignedRole, garrison force]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: assignedRole
Context triple: [Lark Force, assignedRole, garrison force]
  • A. assignsRoleTo chosen
    Indicates that one entity designates or grants a specific role or position to another entity.
  • B. possibleRole
    Indicates that an entity is capable of or eligible to serve in a particular role or function in a given context.
  • C. ordinationRole
    Indicates the specific religious or ceremonial office, function, or capacity in which an entity is formally ordained.
  • D. roleInAppointments
    Indicates the specific function or capacity an entity holds within one or more scheduled appointments.
  • E. assignedUnder
    Indicates that one entity has been given responsibility, duty, or authority to act within the scope, supervision, or framework defined by another entity.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5d33960819089a10c1149abf4b2 completed March 27, 2026, 9:25 p.m.
PD Predicate disambiguation batch_69c6f4d44e9481909813e073b194f6f4 completed March 27, 2026, 9:21 p.m.
Created at: March 27, 2026, 3:45 p.m.