Triple

T9057245
Position Surface form Disambiguated ID Type / Status
Subject Rumson School District E217034 entity
Predicate municipalityServedType P10835 FINISHED
Object borough — 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: borough | Statement: [Rumson School District, municipalityServedType, borough]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: municipalityServedType
Context triple: [Rumson School District, municipalityServedType, borough]
  • A. cityServedType
    Indicates the type or category of city that is served by a given entity (such as a facility, service, or infrastructure).
  • B. isMunicipalSectorOf
    Indicates that one entity is a municipal-level subdivision, department, or sector that forms part of the organizational structure of another entity (typically a municipality or local government).
  • C. hasMunicipalService
    Indicates that a municipality provides or is responsible for a specific public service to a given area, facility, or population.
  • D. isMunicipal
    Indicates that something belongs to, is administered by, or is characteristic of a municipality or local city government.
  • E. hasMunicipalityType chosen
    Indicates that an administrative unit is classified as having a specific type or category of municipality (e.g., city, town, village).
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7ec808bc8190957b80820d98fd5b completed April 1, 2026, 2:11 a.m.
PD Predicate disambiguation batch_69cc5ee6d83c819095d8ed0779aa8511 completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:10 p.m.