Triple

T3865267
Position Surface form Disambiguated ID Type / Status
Subject Kinning Park subway station E91835 entity
Predicate hasStationCode P1289 FINISHED
Object KNP
KNP is the station code for Kinning Park subway station on the Glasgow Subway system in Scotland.
 E395885 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: KNP | Statement: [Kinning Park subway station, hasStationCode, KNP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KNP
Context triple: [Kinning Park subway station, hasStationCode, KNP]
  • A. KNB
    KNB is the abbreviation for Khazanah Nasional, Malaysia’s sovereign wealth fund and strategic investment arm of the government.
  • B. Kuno National Park
    Kuno National Park is a wildlife sanctuary in Madhya Pradesh, India, recognized as a key site for conservation and proposed relocation of large carnivores such as the Asiatic lion and cheetah.
  • C. Kruger
    Kruger is a common Afrikaans and German surname notably borne by figures such as Paul Kruger, the former president of the South African Republic.
  • D. Kokapet
    Kokapet is a rapidly developing suburban locality in the western part of Hyderabad, India, known for its emerging IT, commercial, and residential hubs.
  • E. KNS
    KNS is the Polish vehicle registration code assigned to the Nowy Sącz area in the Lesser Poland Voivodeship.
  • 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: KNP
Triple: [Kinning Park subway station, hasStationCode, KNP]
Generated description
KNP is the station code for Kinning Park subway station on the Glasgow Subway system in Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KNP
Target entity description: KNP is the station code for Kinning Park subway station on the Glasgow Subway system in Scotland.
  • A. KNB
    KNB is the abbreviation for Khazanah Nasional, Malaysia’s sovereign wealth fund and strategic investment arm of the government.
  • B. Kuno National Park
    Kuno National Park is a wildlife sanctuary in Madhya Pradesh, India, recognized as a key site for conservation and proposed relocation of large carnivores such as the Asiatic lion and cheetah.
  • C. Kruger
    Kruger is a common Afrikaans and German surname notably borne by figures such as Paul Kruger, the former president of the South African Republic.
  • D. Kokapet
    Kokapet is a rapidly developing suburban locality in the western part of Hyderabad, India, known for its emerging IT, commercial, and residential hubs.
  • E. KNS
    KNS is the Polish vehicle registration code assigned to the Nowy Sącz area in the Lesser Poland Voivodeship.
  • 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec3a253c81909df7dc0422ff7989 completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5123e5e008190a89bb226a7de55ec completed March 14, 2026, 7:46 a.m.
NEDg Description generation batch_69b512f3504c8190be940148a4f726e9 completed March 14, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69b5172b369c8190956d7c54943225cd completed March 14, 2026, 8:07 a.m.
Created at: March 9, 2026, 3:19 p.m.