Triple

T19089008
Position Surface form Disambiguated ID Type / Status
Subject Ashland/63rd terminal complex E467230 entity
Predicate locationNeighborhood P4813 FINISHED
Object Englewood 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: Englewood | Statement: [Ashland/63rd terminal complex, locationNeighborhood, Englewood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Englewood
Context triple: [Ashland/63rd terminal complex, locationNeighborhood, Englewood]
  • A. Englewood chosen
    Englewood is a neighborhood on the South Side of Chicago, Illinois, historically known for its commercial hub and later for significant economic and social challenges.
  • B. Englewood
    Englewood is a suburban city in northeastern New Jersey known for its residential neighborhoods, cultural venues, and proximity to New York City.
  • C. Englewood, Colorado
    Englewood, Colorado is a suburban city in the Denver metropolitan area known for its mix of residential neighborhoods, commercial centers, and corporate offices.
  • D. Littleton
    Littleton is a suburban town in Middlesex County, Massachusetts, located northwest of Boston.
  • E. Littleton
    Littleton is a village in Surrey, England, known for its proximity to Shepperton and its largely residential, semi-rural 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e34981648190a89b006831846940 completed April 20, 2026, 8:26 a.m.
Created at: April 10, 2026, 12:04 p.m.