Triple

T3509446
Position Surface form Disambiguated ID Type / Status
Subject King station E74158 entity
Predicate hasNeighbouringStation P41425 FINISHED
Object Queen station E70821 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: Queen station | Statement: [King station, hasNeighbouringStation, Queen station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queen station
Context triple: [King station, hasNeighbouringStation, Queen station]
  • A. Queen station chosen
    Queen station is a downtown Toronto subway station on Line 1 Yonge–University, located beneath Queen Street at Yonge Street and serving the city’s central shopping and commercial district.
  • B. King station
    King station is a downtown Toronto subway station on the TTC network serving the Financial District and nearby attractions.
  • C. Catedral station
    Catedral station is a central Buenos Aires Underground stop located in the city's downtown area, serving as a key access point to major civic and historic sites.
  • D. King Street–Old Town station
    King Street–Old Town station is a Washington Metro rail station in Alexandria, Virginia, serving the historic Old Town area and nearby Amtrak and VRE services.
  • E. King Street Station
    King Street Station is a historic railway terminal in downtown Seattle, Washington, serving as a major hub for Amtrak and regional rail services.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc0cc394819087a9b598023f4f93 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e6da490819093a5f574ff0b6b00 completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:18 p.m.