Triple

T30171254
Position Surface form Disambiguated ID Type / Status
Subject New York City Subway Court Square stations E766925 entity
Predicate adjacentBoroughServed P9555 FINISHED
Object Manhattan via East River tunnels 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: Manhattan via East River tunnels | Statement: [New York City Subway Court Square stations, adjacentBoroughServed, Manhattan via East River tunnels]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: adjacentBoroughServed
Context triple: [New York City Subway Court Square stations, adjacentBoroughServed, Manhattan via East River tunnels]
  • A. hasNearbyBorough
    Indicates that one borough is geographically close to or adjacent to another borough.
  • B. boroughServed chosen
    Indicates that a given entity (such as a facility, service, or route) serves or provides coverage to a specific borough.
  • C. hasBoroughEndpoint
    Indicates that something has an endpoint located within a specific borough.
  • D. hasAdjacentMunicipalitiesServed
    Indicates that a municipality has neighboring municipalities that are also served by the same service, system, or administrative arrangement.
  • E. hasBoroughEquivalent
    Indicates that one administrative area corresponds functionally or hierarchically to a borough in another jurisdiction or classification system.
  • 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_69f2247ba20c81909d34f2bfed706e1e completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f71996e1a48190ac59a1d66d7c44e8 completed May 3, 2026, 9:47 a.m.
PD Predicate disambiguation batch_69f71820c6c88190ab38b4fa626d22cc completed May 3, 2026, 9:40 a.m.
Created at: April 29, 2026, 7:24 p.m.