Triple

T553523
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan Washington Council of Governments E11892 entity
Predicate coordinatesOn P1140 FINISHED
Object transportation planning 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: transportation planning | Statement: [Metropolitan Washington Council of Governments, coordinatesOn, transportation planning]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coordinatesOn
Context triple: [Metropolitan Washington Council of Governments, coordinatesOn, transportation planning]
  • A. coordinatesWith chosen
    Indicates that one entity works together with another in an organized or synchronized manner to achieve a shared or compatible outcome.
  • B. coordinateLocation
    Indicates that an entity is located at, or associated with, a specific geographic coordinate or set of coordinates.
  • C. coordinates
    Indicates that one entity organizes, directs, or harmonizes the actions or efforts of another entity or group to achieve a unified outcome.
  • D. hasCoordinates
    Indicates that an entity is associated with specific spatial coordinates that define its position in a given reference system.
  • E. positionOn
    Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4991b296481908cf27e1d1ec67052 completed March 1, 2026, 7:52 p.m.
PD Predicate disambiguation batch_69a494bc1f8c8190904356f3a8e801de completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:32 p.m.