Triple

T15248770
Position Surface form Disambiguated ID Type / Status
Subject Township Council–Manager E364458 entity
Predicate managerPrepares P48513 FINISHED
Object administrative reports for council 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: administrative reports for council | Statement: [Township Council–Manager, managerPrepares, administrative reports for council]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: managerPrepares
Context triple: [Township Council–Manager, managerPrepares, administrative reports for council]
  • A. preparesFor
    Indicates that one entity is used, designed, or undertaken in order to get another entity ready for a future event, state, or activity.
  • B. preparesWith
    Indicates that one entity is used as a means, tool, or method by which another entity is prepared or made ready.
  • C. preparedFor
    Indicates that one entity has been made ready, equipped, or arranged in anticipation of use by or in connection with another entity.
  • D. preparationBy chosen
    Indicates that one entity is created, assembled, or made ready through the actions or processes performed by another entity.
  • E. preparesForEvent
    Indicates that one entity performs actions or makes arrangements in anticipation of a specific event.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f62b9c8190b9ad40e2d1912b63 completed April 15, 2026, 9:49 p.m.
PD Predicate disambiguation batch_69deca8d1bd48190a4b94f29b425e335 completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:13 a.m.