Triple

T413742
Position Surface form Disambiguated ID Type / Status
Subject Government of Chicago E9545 entity
Predicate numberOfCouncilMembers P2433 FINISHED
Object 50 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: 50 | Statement: [Government of Chicago, numberOfCouncilMembers, 50]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfCouncilMembers
Context triple: [Government of Chicago, numberOfCouncilMembers, 50]
  • A. hasNumberOfCouncillors chosen
    Indicates the relationship that specifies how many councillors are associated with a given entity.
  • B. numberOfRepresentatives
    Indicates the quantity of representatives associated with a given entity or unit.
  • C. hasCouncilDistrict
    Indicates that an entity is located within or represented by a specific council district.
  • D. numberOfDistricts
    Indicates the total count of districts associated with a given entity or area.
  • E. numberOfBoardMembers
    Indicates the total count of individuals who serve as members on a board.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecdd3d1c8190a31b071569cfc980 completed Feb. 28, 2026, 1:25 p.m.
PD Predicate disambiguation batch_69a2e9749234819084b0ce94faabd0b1 completed Feb. 28, 2026, 1:11 p.m.
Created at: Feb. 28, 2026, 1:09 p.m.