Triple

T27779679
Position Surface form Disambiguated ID Type / Status
Subject City of Lawrence government E699298 entity
Predicate hasAppointedOfficial P179917 FINISHED
Object city manager 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: city manager | Statement: [City of Lawrence government, hasAppointedOfficial, city manager]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAppointedOfficial
Context triple: [City of Lawrence government, hasAppointedOfficial, city manager]
  • A. isAppointed
    Indicates that an authority formally assigns a person to a specific role, position, or responsibility.
  • B. wasAppointed
    Indicates that an entity has been officially assigned or designated to a position, role, or office by an authority or decision-making body.
  • C. appointedIn
    Indicates that an entity is formally assigned or designated to a role, position, or office within a specific context, organization, or jurisdiction.
  • D. appointedByOffice
    Indicates that an entity attains its position or role through a formal appointment made by a specific office or official authority.
  • E. appointedBy
    Indicates that one entity has been formally selected or assigned to a position, role, or office by another entity.
  • 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_69ef6a4b5a9081909c9111396c2be3d2 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f72921cf2c8190909bb53f78bcc890 completed May 3, 2026, 10:53 a.m.
PD Predicate disambiguation batch_69f7283d8cec8190b524c144948bc4ec completed May 3, 2026, 10:49 a.m.
PDg Predicate description generation batch_69f72920c6208190aa4aba6cb6193109 completed May 3, 2026, 10:53 a.m.
Created at: April 27, 2026, 5:09 p.m.