Triple

T22110342
Position Surface form Disambiguated ID Type / Status
Subject Quebec City Gare du Palais E546396 entity
Predicate hasStationCode P1289 FINISHED
Object QBC
QBC is the station code for Gare du Palais, the main intercity train station in Quebec City, Canada.
 E1519036 NE FINISHED

How this triple was built (4 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: QBC | Statement: [Quebec City Gare du Palais, hasStationCode, QBC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: QBC
Context triple: [Quebec City Gare du Palais, hasStationCode, QBC]
  • A. QCB
    QCB is the central banking authority of Qatar responsible for issuing the national currency, regulating financial institutions, and overseeing the country’s monetary policy.
  • B. BQU
    BQU is the IATA airport code for J. F. Mitchell Airport, a small regional airport serving Bequia in Saint Vincent and the Grenadines.
  • C. QFC
    QFC is a regional supermarket chain in the Pacific Northwest of the United States, operating as a subsidiary of Kroger.
  • D. CBQ
    CBQ is the reporting mark and common abbreviation for the Chicago, Burlington and Quincy Railroad, a major historic U.S. railroad system often known as the Burlington Route.
  • E. CBQ
    CBQ is the IATA airport code for Margaret Ekpo International Airport serving Calabar, Nigeria.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: QBC
Triple: [Quebec City Gare du Palais, hasStationCode, QBC]
Generated description
QBC is the station code for Gare du Palais, the main intercity train station in Quebec City, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: QBC
Target entity description: QBC is the station code for Gare du Palais, the main intercity train station in Quebec City, Canada.
  • A. QCB
    QCB is the central banking authority of Qatar responsible for issuing the national currency, regulating financial institutions, and overseeing the country’s monetary policy.
  • B. BQU
    BQU is the IATA airport code for J. F. Mitchell Airport, a small regional airport serving Bequia in Saint Vincent and the Grenadines.
  • C. QFC
    QFC is a regional supermarket chain in the Pacific Northwest of the United States, operating as a subsidiary of Kroger.
  • D. CBQ
    CBQ is the reporting mark and common abbreviation for the Chicago, Burlington and Quincy Railroad, a major historic U.S. railroad system often known as the Burlington Route.
  • E. CBQ
    CBQ is the IATA airport code for Margaret Ekpo International Airport serving Calabar, Nigeria.
  • F. None of above. chosen

Provenance (5 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12948c2ec819083340787b2062649 completed April 28, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a87ad74fc81909fa698ced1e917f2 completed May 18, 2026, 3:29 a.m.
NEDg Description generation batch_6a0a884eb8248190b98b260d3d277d92 completed May 18, 2026, 3:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0a8901941c8190945a96d7f5578362 completed May 18, 2026, 3:35 a.m.
Created at: April 16, 2026, 8:30 p.m.