Triple

T11909395
Position Surface form Disambiguated ID Type / Status
Subject Canning Town Underground station E283353 entity
Predicate hasStationCode P1289 FINISHED
Object CNT
CNT is the three-letter station code used to identify Canning Town Underground station in London’s transport network.
 E952979 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: CNT | Statement: [Canning Town Underground station, hasStationCode, CNT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CNT
Context triple: [Canning Town Underground station, hasStationCode, CNT]
  • A. CNT
    CNT is the commonly used abbreviation for the USA Baseball Collegiate National Team, which features top U.S. college baseball players in international competition.
  • B. CNTS
    CNTS is the commonly used abbreviation for the Centre national de tir sportif, France’s national sports shooting center.
  • C. Count
    Count was the stage name of William "Count" Basie, the influential American jazz pianist, organist, bandleader, and composer who helped define the swing era.
  • D. Count
    Count is a European noble title historically ranking below a marquis and above a viscount, often associated with governance of a county.
  • E. CNTSN
    CNTSN is the UN/LOCODE identifier for the Port of Tangshan, a major Chinese seaport on the Bohai Sea serving industrial and bulk cargo traffic.
  • 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: CNT
Triple: [Canning Town Underground station, hasStationCode, CNT]
Generated description
CNT is the three-letter station code used to identify Canning Town Underground station in London’s transport network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CNT
Target entity description: CNT is the three-letter station code used to identify Canning Town Underground station in London’s transport network.
  • A. CNT
    CNT is the commonly used abbreviation for the USA Baseball Collegiate National Team, which features top U.S. college baseball players in international competition.
  • B. CNTS
    CNTS is the commonly used abbreviation for the Centre national de tir sportif, France’s national sports shooting center.
  • C. Count
    Count was the stage name of William "Count" Basie, the influential American jazz pianist, organist, bandleader, and composer who helped define the swing era.
  • D. Count
    Count is a European noble title historically ranking below a marquis and above a viscount, often associated with governance of a county.
  • E. CNTSN
    CNTSN is the UN/LOCODE identifier for the Port of Tangshan, a major Chinese seaport on the Bohai Sea serving industrial and bulk cargo traffic.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e5278eb081909a7ecfe38beeeda9 completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f418543258819083b49a5bbdc520cd completed May 1, 2026, 3:04 a.m.
NEDg Description generation batch_69f41f1d2da0819082f00cf61a6530b6 completed May 1, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f42291f3608190ab079f939d34cf15 completed May 1, 2026, 3:48 a.m.
Created at: April 8, 2026, 9:44 p.m.