Triple

T19037911
Position Surface form Disambiguated ID Type / Status
Subject Canons Park Underground station E465924 entity
Predicate stationCode P1289 FINISHED
Object CNP
CNP is the three-letter station code used to identify Canons Park Underground station on the London Underground network.
E1355987 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: CNP | Statement: [Canons Park Underground station, stationCode, CNP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNP
Context triple: [Canons Park Underground station, stationCode, CNP]
  • A. CNP
    CNP is the abbreviation for the U.S. Navy’s Chief of Naval Personnel, the senior officer responsible for managing the service’s manpower, personnel policies, and career development.
  • B. CPN
    CPN is the ICAO airline designator assigned to Caspian Airlines, an Iranian passenger carrier.
  • C. CPN
    CPN was a Dutch communist political party that played a significant role in left-wing politics in the Netherlands during the 20th century.
  • D. CNAP
    CNAP is the commonly used acronym for Commander, Naval Air Forces, Pacific, the U.S. Navy command responsible for overseeing Pacific Fleet naval aviation.
  • E. CNR
    CNR is an acronym commonly used for the College of Natural Resources, an academic unit focused on environmental science, resource management, and related fields.
  • 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: CNP
Triple: [Canons Park Underground station, stationCode, CNP]
Generated description
CNP is the three-letter station code used to identify Canons Park Underground station on the London Underground network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CNP
Target entity description: CNP is the three-letter station code used to identify Canons Park Underground station on the London Underground network.
  • A. CNP
    CNP is the abbreviation for the U.S. Navy’s Chief of Naval Personnel, the senior officer responsible for managing the service’s manpower, personnel policies, and career development.
  • B. CPN
    CPN is the ICAO airline designator assigned to Caspian Airlines, an Iranian passenger carrier.
  • C. CPN
    CPN was a Dutch communist political party that played a significant role in left-wing politics in the Netherlands during the 20th century.
  • D. CNAP
    CNAP is the commonly used acronym for Commander, Naval Air Forces, Pacific, the U.S. Navy command responsible for overseeing Pacific Fleet naval aviation.
  • E. CNR
    CNR is an acronym commonly used for the College of Natural Resources, an academic unit focused on environmental science, resource management, and related fields.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d7fed99c81909495797c604db044 completed April 20, 2026, 7:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05c547bcb88190bfef5c4a0d2678e4 completed May 14, 2026, 12:51 p.m.
NEDg Description generation batch_6a05c69f12b081908bf6baf78a09a13f completed May 14, 2026, 12:57 p.m.
NED2 Entity disambiguation (via description) batch_6a05c704b21c81909dd690d07ffa1526 completed May 14, 2026, 12:58 p.m.
Created at: April 10, 2026, 12:02 p.m.