Triple

T12701958
Position Surface form Disambiguated ID Type / Status
Subject Metuchen E303483 entity
Predicate hasElementarySchool P113 FINISHED
Object Moss School E695569 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: Moss School | Statement: [Metuchen, hasElementarySchool, Moss School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moss School
Context triple: [Metuchen, hasElementarySchool, Moss School]
  • A. Moss School chosen
    Moss School is a public elementary school serving young students in the borough of Metuchen, New Jersey.
  • B. South School
    South School is a public elementary school serving early-grade students in the New Canaan, Connecticut community.
  • C. South School
    South School is a public elementary school serving young students in the town of Stoneham, Massachusetts.
  • D. Moss-Nuckols Elementary School
    Moss-Nuckols Elementary School is a public elementary school in Louisa County, Virginia, serving early-grade students within the Louisa County Public Schools district.
  • E. Meadow School
    Meadow School is an educational institution attended by American actor Brian Baumgartner, best known for his role as Kevin Malone on the U.S. version of "The Office."
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961f0941081908a879cde0be48667 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b27790819085f0f03af33f8f21 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:22 p.m.