Triple

T6186849
Position Surface form Disambiguated ID Type / Status
Subject Patchogue E138081 entity
Predicate adjacentTo P224 FINISHED
Object Blue Point E452464 NE 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: Blue Point | Statement: [Patchogue, adjacentTo, Blue Point]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Point
Context triple: [Patchogue, adjacentTo, Blue Point]
  • A. Blue Point
    Blue Point is a top-class Godolphin-owned Thoroughbred racehorse best known as a multiple Group 1-winning sprinter, including victories at Royal Ascot.
  • B. Blue Point, New York chosen
    Blue Point, New York is a small hamlet on the south shore of Long Island known for its waterfront location on the Great South Bay and historic shellfish industry.
  • C. Bowery Bay
    Bowery Bay is a small inlet of the East River in Queens, New York City, located near LaGuardia Airport and used historically for industrial and maritime purposes.
  • D. Green Point
    Green Point is a coastal suburb on the Central Coast of New South Wales, Australia, known for its residential areas and proximity to waterways and natural reserves.
  • E. Green Point
    Green Point is a coastal suburb of Cape Town, South Africa, known for its urban park, stadium, and proximity to the Atlantic Seaboard.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0621671988190938dd16242a2e4d5 completed March 22, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141ca916c8190bd1ca46f2b8c9c18 completed March 23, 2026, 1:36 p.m.
Created at: March 22, 2026, 4:19 p.m.