Triple

T21651871
Position Surface form Disambiguated ID Type / Status
Subject Circular Quay railway station E534357 entity
Predicate hasStationCode P1289 FINISHED
Object CQU NE NERFINISHED

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: CQU | Statement: [Circular Quay railway station, hasStationCode, CQU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CQU
Context triple: [Circular Quay railway station, hasStationCode, CQU]
  • A. CQU chosen
    CQU is the station code for Circular Quay railway station on Sydney's suburban rail network.
  • B. CQU
    CQU is the commonly used abbreviation for Chongqing University, a major national research university located in Chongqing, China.
  • C. CQUPT
    CQUPT is a Chinese public university in Chongqing specializing in information and communications engineering, computer science, and related technological disciplines.
  • D. UQ
    UQ is the abbreviation for the Université du Québec, a public university system comprising multiple institutions across the province of Quebec, Canada.
  • E. D-Q University
    D-Q University was a short-lived, Native American and Chicano-focused tribal college in California known for its role in Indigenous and civil rights education.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5914a3f88190b797188eba34edd8 completed April 27, 2026, 12:39 p.m.
Created at: April 16, 2026, 6:36 p.m.