Triple

T6139455
Position Surface form Disambiguated ID Type / Status
Subject Summer Street School E136921 entity
Predicate name P16 FINISHED
Object Summer Street School E136921 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: Summer Street School | Statement: [Summer Street School, name, Summer Street School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Summer Street School
Context triple: [Summer Street School, name, Summer Street School]
  • A. Summer Street School chosen
    Summer Street School is a public elementary school serving young students in the town of Lynnfield, Massachusetts.
  • B. Spring Street School
    Spring Street School is a public elementary school serving students in the town of Shrewsbury, Massachusetts.
  • C. Floral Street School
    Floral Street School is a public elementary school serving students in the town of Shrewsbury, Massachusetts.
  • D. North Street Elementary School
    North Street Elementary School is a public primary school serving young students in the town of Tewksbury, Massachusetts.
  • E. Forest Avenue School
    Forest Avenue School is a public elementary school serving young students in the Verona, New Jersey community.
  • 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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cb030fc8190b78e4967eea65611 completed March 22, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135ecd62c8190911b98133bf71dfc completed March 23, 2026, 12:45 p.m.
Created at: March 22, 2026, 4:15 p.m.