Triple

T3927702
Position Surface form Disambiguated ID Type / Status
Subject King Street Trolley E93316 entity
Predicate operatesOn P23 FINISHED
Object King Street E258409 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: King Street | Statement: [King Street Trolley, operatesOn, King Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King Street
Context triple: [King Street Trolley, operatesOn, King Street]
  • A. King Street
    King Street is a historic and prestigious street in Manchester, England, known for its high-end shops, offices, and notable architecture.
  • B. King Street
    King Street was the colonial-era name for what is now State Street in Boston, historically notable as the site of the Boston Massacre.
  • C. King Street
    King Street is a major thoroughfare in Honolulu, Hawaii, running through key districts including Chinatown and serving as an important commercial and transportation corridor.
  • D. King Street
    King Street is the historic main commercial thoroughfare running through Old Town Alexandria, Virginia, known for its shops, restaurants, and preserved architecture.
  • E. King Street chosen
    King Street is a major thoroughfare in San Francisco that runs through the South of Market area and serves as a key access route to the city’s Caltrain terminal and nearby waterfront attractions.
  • 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeda4f9d481908dda1b5a826ab64d completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8681d57c08190b72d1b010db3a065 completed March 28, 2026, 11:45 p.m.
Created at: March 9, 2026, 3:23 p.m.