Triple

T7247654
Position Surface form Disambiguated ID Type / Status
Subject Nork E156516 entity
Predicate hasGreenSpace P1495 FINISHED
Object Nork Park E756151 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: Nork Park | Statement: [Nork, hasGreenSpace, Nork Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nork Park
Context triple: [Nork, hasGreenSpace, Nork Park]
  • A. Nork Park chosen
    Nork Park is a public green space in the Nork area, offering open fields, recreational facilities, and natural surroundings for local residents and visitors.
  • B. Norbuck Park
    Norbuck Park is a popular recreational green space in Dallas, Texas, known for its sports fields, running trails, and access to White Rock Lake.
  • C. Goar Park
    Goar Park is a public green space located in the city of University Park, Texas, offering recreational areas and community amenities for local residents.
  • D. Valkenberg Park
    Valkenberg Park is a historic public park in the Dutch city of Breda, known for its landscaped gardens, walking paths, and cultural events near the city center.
  • E. Hawrelak Park
    Hawrelak Park is a large, popular urban park in Edmonton, Alberta, known for its lakeside setting, festivals, and recreational facilities.
  • 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_69c68827b5e481908dc05e145b2c92d4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea749fb08190841c0aa8c5bd0727 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6e2cd9cc8190accfefed5eaa0b07 completed April 3, 2026, 7:37 a.m.
Created at: March 27, 2026, 2:56 p.m.