Triple

T7304201
Position Surface form Disambiguated ID Type / Status
Subject Floral Street School E167933 entity
Predicate name P16 FINISHED
Object Floral Street School E167933 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: Floral Street School | Statement: [Floral Street School, name, Floral Street School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Floral Street School
Context triple: [Floral Street School, name, Floral Street School]
  • A. Floral Street School chosen
    Floral Street School is a public elementary school serving students in the town of Shrewsbury, Massachusetts.
  • B. Spring Street School
    Spring Street School is a public elementary school serving young students in the town of West Bridgewater, Massachusetts.
  • C. Spring Street School
    Spring Street School is a public elementary school serving students in the town of Shrewsbury, Massachusetts.
  • D. Laning Avenue School
    Laning Avenue School is a public elementary school serving young students in the suburban community of Verona, New Jersey.
  • E. Summer Street School
    Summer Street School is a public elementary school serving young students in the town of Lynnfield, Massachusetts.
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebb352ec8190846eff044e08805e completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa7320bc819081e0b94e8909c4aa completed March 28, 2026, 3:57 p.m.
Created at: March 27, 2026, 3:01 p.m.