Triple

T21087973
Position Surface form Disambiguated ID Type / Status
Subject Walnut–Locust station E519553 entity
Predicate locatedOnStreet P959 FINISHED
Object Broad Street 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: Broad Street | Statement: [Walnut–Locust station, locatedOnStreet, Broad Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Broad Street
Context triple: [Walnut–Locust station, locatedOnStreet, Broad Street]
  • A. Broad Street
    Broad Street is a major thoroughfare in Reading, Berkshire, known for its central shopping area and pedestrianized retail district.
  • B. Broad Street chosen
    Broad Street is a major north–south thoroughfare in Philadelphia, Pennsylvania, known for running through Center City and serving as a central artery of the city’s street grid.
  • C. Broad Street
    Broad Street is a major thoroughfare in downtown Boston, Massachusetts, known for its historic significance and proximity to key financial and waterfront districts.
  • D. Broad Street
    Broad Street is the main commercial high street serving the suburban area of Staple Hill in South Gloucestershire, England.
  • E. Broad Street
    Broad Street is a prominent historic street in central Oxford, England, known for its university buildings, bookshops, and cultural landmarks.
  • 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7094cebe08190bb10f51a45c244ec completed April 21, 2026, 5:21 a.m.
Created at: April 16, 2026, 2:50 p.m.