Triple

T16030815
Position Surface form Disambiguated ID Type / Status
Subject Market Square, Pittsburgh E388840 entity
Predicate locatedNear P294 FINISHED
Object Market Street E313195 NE FINISHED

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: [Market Square, Pittsburgh, locatedNear, Market Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Market Street
Context triple: [Market Square, Pittsburgh, locatedNear, Market Street]
  • A. Market Street
    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.
  • B. Market Street chosen
    Market Street is a common street name typically referring to a central thoroughfare historically used as a marketplace in many towns and cities.
  • 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 major thoroughfare in downtown Dallas, Texas, known for its commercial activity and central location within the city’s street grid.
  • 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 (3 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1832b0f308190a23edfaf55f3ca25 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf35ae808190aeb154a273c32a70 completed May 10, 2026, 12:20 a.m.
Created at: April 10, 2026, 4:56 a.m.