Triple

T13563642
Position Surface form Disambiguated ID Type / Status
Subject Hillsdale station E323975 entity
Predicate hasAdjacentMunicipalitiesServed P110090 FINISHED
Object nearby Bergen County communities 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: nearby Bergen County communities | Statement: [Hillsdale station, hasAdjacentMunicipalitiesServed, nearby Bergen County communities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAdjacentMunicipalitiesServed
Context triple: [Hillsdale station, hasAdjacentMunicipalitiesServed, nearby Bergen County communities]
  • A. nearbyCityServed
    Indicates that a city is geographically close enough to another city to be considered within its service or support area.
  • B. hasMunicipalService
    Indicates that a municipality provides or is responsible for a specific public service to a given area, facility, or population.
  • C. townServed
    Indicates that a given service, facility, or infrastructure serves or provides coverage to a particular town.
  • D. areaServed
    Indicates the geographic region or jurisdiction within which a service, organization, or activity is provided or applicable.
  • E. hasMunicipalPart
    Indicates that an administrative or territorial entity includes a municipality as one of its constituent parts.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00bbe848190bb33efe2af528295 completed April 12, 2026, 2:45 p.m.
PD Predicate disambiguation batch_69dbae161a0481909f9d3f40ca4e0ac5 completed April 12, 2026, 2:37 p.m.
PDg Predicate description generation batch_69dbaf7fefa881908471f1400f813ccc completed April 12, 2026, 2:43 p.m.
Created at: April 9, 2026, 9:47 p.m.