Triple

T20934338
Position Surface form Disambiguated ID Type / Status
Subject Freeway Park E515543 entity
Predicate genre P14 FINISHED
Object freeway lid park NE NERFINISHED

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: freeway lid park | Statement: [Freeway Park, genre, freeway lid park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: freeway lid park
Context triple: [Freeway Park, genre, freeway lid park]
  • A. Freeway Park chosen
    Freeway Park is an urban public park in downtown Seattle notable for its Brutalist concrete design and its pioneering construction over a freeway.
  • B. Parkring
    Parkring is a central boulevard in Vienna that forms part of the historic Ringstrasse, known for its grand architecture and proximity to prominent parks and landmarks.
  • C. Lilacia Park
    Lilacia Park is a historic public garden in Lombard, Illinois, renowned for its extensive lilac and tulip collections and annual Lilac Time festival.
  • D. Cellucci Park
    Cellucci Park is a public recreational area located in the town of Hudson, Massachusetts.
  • E. Falcon Park
    Falcon Park is a local recreational park and community green space in Fuquay-Varina, North Carolina.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f94fc194819099df82357a7f33c7 completed April 21, 2026, 4:13 a.m.
Created at: April 16, 2026, 12:49 p.m.