Triple

T9645609
Position Surface form Disambiguated ID Type / Status
Subject Manhattan via Williamsburg Bridge E233185 entity
Predicate supportsLandUseConnection P89417 FINISHED
Object residential areas in Williamsburg 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: residential areas in Williamsburg | Statement: [Manhattan via Williamsburg Bridge, supportsLandUseConnection, residential areas in Williamsburg]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsLandUseConnection
Context triple: [Manhattan via Williamsburg Bridge, supportsLandUseConnection, residential areas in Williamsburg]
  • A. hasLandUseCharacter
    Indicates that one entity possesses or is associated with a particular type or pattern of land use.
  • B. landUseIncludes
    Indicates that a specified land area contains or permits the specified type(s) of land use within its boundaries.
  • C. landUseContext
    Indicates the contextual setting or circumstances under which a particular piece of land is used or designated for a specific purpose.
  • D. hasLandsideConnection
    Indicates that two locations are connected by a route or access on land, allowing movement between them without using air or water transport.
  • E. hasAirsideConnection
    Indicates that there is a direct, secure connection between areas past security (airside) of two locations, allowing passengers to transfer without re-clearing security or immigration.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b8122148190bd0af3a04b21e53e completed April 1, 2026, 10:26 p.m.
PD Predicate disambiguation batch_69ccd5b0263081908cf6df3eb07d71b0 completed April 1, 2026, 8:22 a.m.
PDg Predicate description generation batch_69ccd9408c848190b84dd74d87f76273 completed April 1, 2026, 8:37 a.m.
Created at: March 30, 2026, 8:12 p.m.