Triple

T3200603
Position Surface form Disambiguated ID Type / Status
Subject Outer Rim E67039 entity
Predicate hasViewOf P854 FINISHED
Object Bay Lake E203219 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: Bay Lake | Statement: [Outer Rim, hasViewOf, Bay Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bay Lake
Context triple: [Outer Rim, hasViewOf, Bay Lake]
  • A. Bay Lake chosen
    Bay Lake is a natural lake in Central Florida located near the Walt Disney World Resort.
  • B. Kay Lake
    Kay Lake is a central character in James Ellroy's crime novel "The Black Dahlia," depicted as a compassionate and morally grounded woman entangled in the dark world of 1940s Los Angeles corruption and obsession.
  • C. Round Lake
    Round Lake is a small village and lake in Saratoga County, New York, known for its historic character and recreational waterfront.
  • D. Greenwood Lake
    Greenwood Lake is a scenic glacial lake straddling the border of New York and New Jersey, popular for boating, fishing, and lakeside recreation.
  • E. Stow Lake
    Stow Lake is a man-made lake and popular recreational spot in San Francisco’s Golden Gate Park, known for its boating, walking paths, and scenic island.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada9aedef08190824bdf508f85f06f completed March 8, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6720e877481908d870653bbb09820 completed March 15, 2026, 8:47 a.m.
Created at: March 8, 2026, 3:07 p.m.