Triple

T1249987
Position Surface form Disambiguated ID Type / Status
Subject Texas School Book Depository E26851 entity
Predicate locatedNear P294 FINISHED
Object Houston Street E27604 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: Houston Street | Statement: [Texas School Book Depository, locatedNear, Houston Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Houston Street
Context triple: [Texas School Book Depository, locatedNear, Houston Street]
  • A. Houston Street chosen
    Houston Street is a major thoroughfare in downtown Dallas, Texas, historically notable for its proximity to Dealey Plaza and the site of President John F. Kennedy’s assassination.
  • B. Van Dorn Street
    Van Dorn Street is a major north–south thoroughfare in Alexandria, Virginia, serving residential, commercial, and commuter traffic in the city’s West End.
  • C. Commerce Street
    Commerce Street is a major thoroughfare in downtown Dallas, Texas, known for running through historic areas including Dealey Plaza.
  • D. River Street
    River Street is a roadway in Cambridge’s city center that serves as a key connector through the urban core.
  • E. Battery Street
    Battery Street is a major north–south thoroughfare in San Francisco’s Financial District, known for its dense concentration of office buildings and proximity to the city’s downtown waterfront.
  • 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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf84c73c8190bbb14265cd7ab6ae completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69afbba1649081909703163de2d018cd completed March 10, 2026, 6:35 a.m.
Created at: March 1, 2026, 7:47 p.m.