Triple

T15607217
Position Surface form Disambiguated ID Type / Status
Subject Verona Public Schools E375188 entity
Predicate hasSchool P113 FINISHED
Object Forest Avenue School E388599 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: Forest Avenue School | Statement: [Verona Public Schools, hasSchool, Forest Avenue School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Forest Avenue School
Context triple: [Verona Public Schools, hasSchool, Forest Avenue School]
  • A. Forest Avenue School chosen
    Forest Avenue School is a public elementary school serving young students in the Verona, New Jersey community.
  • B. Washington Avenue School
    Washington Avenue School is a public elementary school serving young students in the Chatham Borough community of New Jersey.
  • C. Washington Avenue School
    Washington Avenue School is a public elementary school serving young students in the Pleasantville, New Jersey community.
  • D. Laning Avenue School
    Laning Avenue School is a public elementary school serving young students in the suburban community of Verona, New Jersey.
  • E. Linwood Avenue Elementary School
    Linwood Avenue Elementary School is a public elementary school serving early-grade students in the Union-Endicott Central School District in New York.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e7ec08c8190b3842cf3043aea27 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f37383c81909d0efce84508a034 completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:13 a.m.