Triple

T9144635
Position Surface form Disambiguated ID Type / Status
Subject Greenwood E219418 entity
Predicate hasLandmark P105 FINISHED
Object Greenwood Elementary School E650734 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: Greenwood Elementary School | Statement: [Greenwood, hasLandmark, Greenwood Elementary School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenwood Elementary School
Context triple: [Greenwood, hasLandmark, Greenwood Elementary School]
  • A. Greenwood Elementary School chosen
    Greenwood Elementary School is a public primary school serving young students in the suburban community of Olney, Maryland.
  • B. Mount Greenwood Elementary School
    Mount Greenwood Elementary School is a neighborhood public school in Chicago serving students in the Mount Greenwood community.
  • C. Woodruff Elementary School
    Woodruff Elementary School is a public primary school serving young students in the suburban community of Berkeley Heights, New Jersey.
  • D. Greenwood Academy
    Greenwood Academy is a secondary school in Scotland known for being among the educational institutions attended by former First Minister Nicola Sturgeon.
  • E. Oak Grove Elementary School
    Oak Grove Elementary School is a public elementary school in Fayette County, Georgia, serving young students as part of the local K–12 education system.
  • 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_69ca83e121dc81909912bd66953081c5 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca9166d308190a742ae68371439ee completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d04820eef08190839cecb5bb74f122 completed April 3, 2026, 11:07 p.m.
Created at: March 30, 2026, 7:19 p.m.