Triple

T1249986
Position Surface form Disambiguated ID Type / Status
Subject Texas School Book Depository E26851 entity
Predicate locatedNear P294 FINISHED
Object Elm Street E17475 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: Elm Street | Statement: [Texas School Book Depository, locatedNear, Elm Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elm Street
Context triple: [Texas School Book Depository, locatedNear, Elm Street]
  • A. Elm Street chosen
    Elm Street is a notable street in downtown Dallas, Texas, best known as the site of President John F. Kennedy’s assassination in 1963.
  • B. Elm Street
    Elm Street is a prominent street in New Haven, Connecticut, running alongside Yale University’s central Cross Campus and lined with academic buildings and historic architecture.
  • C. Hillhouse Avenue
    Hillhouse Avenue is a historic, tree-lined street in New Haven, Connecticut, renowned for its 19th-century architecture and close association with Yale University.
  • D. Hill Street
    Hill Street is a central street in Birmingham, England, located near and providing access to the major Birmingham New Street railway station.
  • E. Elmwood Avenue
    Elmwood Avenue is a major street in Philadelphia, Pennsylvania, known for carrying a portion of SEPTA’s Subway–Surface trolley lines along its surface.
  • 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_69ac93c66bf881908f4b63548341178e completed March 7, 2026, 9:08 p.m.
Created at: March 1, 2026, 7:47 p.m.