Triple

T13192133
Position Surface form Disambiguated ID Type / Status
Subject Cherokee Park E314017 entity
Predicate city P40 FINISHED
Object Morristown 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: Morristown | Statement: [Cherokee Park, city, Morristown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morristown
Context triple: [Cherokee Park, city, Morristown]
  • A. Morristown chosen
    Morristown is a city in eastern Tennessee known as a regional hub for education, commerce, and industry in the Lakeway Area.
  • B. Morristown, New Jersey
    Morristown, New Jersey is a historic town in northern New Jersey known for its pivotal role as General George Washington’s winter headquarters during the American Revolutionary War and its well-preserved colonial-era sites.
  • C. Montclair
    Montclair is a residential, hillside neighborhood in Oakland, California, known for its wooded canyons, winding streets, and small village-style commercial district.
  • D. Montclair
    Montclair is a city in southwestern San Bernardino County, California, located in the Pomona Valley region of the Greater Los Angeles area.
  • E. Medford, New Jersey
    Medford, New Jersey is a suburban township in Burlington County known for its pine forests, lakes, and proximity to the Pinelands’ Wharton State Forest.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c600ab48190bcf84aaf5846fb4b completed April 10, 2026, 11:48 p.m.
Created at: April 9, 2026, 9:15 p.m.