Triple

T21593498
Position Surface form Disambiguated ID Type / Status
Subject Jefferson Station E532838 entity
Predicate locatedUnder P10157 FINISHED
Object Market 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: Market Street | Statement: [Jefferson Station, locatedUnder, Market Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Market Street
Context triple: [Jefferson Station, locatedUnder, Market Street]
  • A. Market Street
    Market Street is a major shopping thoroughfare in Manchester city centre, known for its busy pedestrian zone and high street retail stores.
  • B. Market Street chosen
    Market Street is a major thoroughfare in San Francisco that serves as the city’s primary downtown artery and commercial spine, running through areas including the Financial District.
  • C. Market Street
    Market Street is a major commercial thoroughfare in the Sydney central business district, known for its shopping precincts and proximity to landmarks such as Sydney Tower.
  • D. Market Street
    Market Street is a historic commercial thoroughfare in downtown Denver’s Lower Downtown (LoDo) district, known for its preserved brick buildings, shops, restaurants, and nightlife.
  • E. Market Street
    Market Street is a primary thoroughfare running through downtown St. Louis, Missouri, lined with civic buildings, businesses, 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefadf6e608190b42b26ea22c76ec6 completed April 27, 2026, 5:57 a.m.
Created at: April 16, 2026, 6:32 p.m.