Triple

T21114368
Position Surface form Disambiguated ID Type / Status
Subject Lenox station (MARTA) E520255 entity
Predicate servesNeighborhood P82 FINISHED
Object Lenox 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: Lenox | Statement: [Lenox station (MARTA), servesNeighborhood, Lenox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lenox
Context triple: [Lenox station (MARTA), servesNeighborhood, Lenox]
  • A. Lenox
    Lenox is a small town located in Madison County in the state of New York, United States.
  • B. Lenox chosen
    Lenox is a small, historic town in western Massachusetts known for its cultural attractions, including Tanglewood, the summer home of the Boston Symphony Orchestra.
  • C. Lenox, New York
    Lenox, New York is a small town in Madison County known for its rural character and proximity to Oneida Lake in central New York State.
  • D. Concord
    Concord is a historic New England town in eastern Massachusetts known for its pivotal role in the American Revolutionary War and its association with prominent 19th-century literary figures.
  • E. Concord
    Concord is a suburban neighbourhood within the city of Vaughan in Ontario, Canada, known for its mix of industrial, commercial, and residential areas.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72104e49c8190b75c2e14f6036e39 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:54 p.m.