Triple

T19920075
Position Surface form Disambiguated ID Type / Status
Subject Howe Elementary School E478768 entity
Predicate servesCommunity P82 FINISHED
Object Mt. Lebanon NE NERFINISHED

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: Mt. Lebanon | Statement: [Howe Elementary School, servesCommunity, Mt. Lebanon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mt. Lebanon
Context triple: [Howe Elementary School, servesCommunity, Mt. Lebanon]
  • A. Mt. Lebanon chosen
    Mt. Lebanon is a suburban municipality just south of Pittsburgh, Pennsylvania, known for its residential neighborhoods, strong school system, and walkable business districts.
  • B. Cleveland Hills
    The Cleveland Hills are a range of hills in northern England known for their moorland landscapes and as part of the North York Moors.
  • C. Mount Lebanon
    Mount Lebanon is a historic mountainous region in modern-day Lebanon that has long served as a cultural and political heartland for the Druze community.
  • D. Mt. Lebanon Park
    Mt. Lebanon Park is a public recreational green space in the Mt. Lebanon community, offering outdoor amenities and leisure areas for local residents and visitors.
  • E. Mount Gilead, Ohio
    Mount Gilead, Ohio is a small village in Morrow County known as the birthplace of novelist Dawn Powell and for its historic Midwestern small-town character.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659c49d408190b3a42bada3675133 completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.