Triple

T20261877
Position Surface form Disambiguated ID Type / Status
Subject Gokurakubashi Station E498858 entity
Predicate hasStationCode P1289 FINISHED
Object NK86
NK86 is the station code assigned to Gokurakubashi Station on the Nankai Electric Railway network in Japan.
 E1420585 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: NK86 | Statement: [Gokurakubashi Station, hasStationCode, NK86]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NK86
Context triple: [Gokurakubashi Station, hasStationCode, NK86]
  • A. N86
    N86 is a Nokia smartphone model known for its dual-slider design and advanced camera features for its time.
  • B. NKT
    NKT is the IATA airport code for Marine Corps Air Station Cherry Point, a major United States Marine Corps airfield in North Carolina.
  • C. NKT
    NKT is the IATA airport code for the main airport serving Şırnak in southeastern Turkey.
  • D. N806
    N806 is a regional road in the Netherlands that provides access to and from the town of Bunschoten.
  • E. N8
    N8 is a specific neuraminidase antigenic subtype found on the surface of certain influenza A viruses, used to classify and distinguish viral strains.
  • 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: NK86
Triple: [Gokurakubashi Station, hasStationCode, NK86]
Generated description
NK86 is the station code assigned to Gokurakubashi Station on the Nankai Electric Railway network in Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NK86
Target entity description: NK86 is the station code assigned to Gokurakubashi Station on the Nankai Electric Railway network in Japan.
  • A. N86
    N86 is a Nokia smartphone model known for its dual-slider design and advanced camera features for its time.
  • B. NKT
    NKT is the IATA airport code for Marine Corps Air Station Cherry Point, a major United States Marine Corps airfield in North Carolina.
  • C. NKT
    NKT is the IATA airport code for the main airport serving Şırnak in southeastern Turkey.
  • D. N806
    N806 is a regional road in the Netherlands that provides access to and from the town of Bunschoten.
  • E. N8
    N8 is a specific neuraminidase antigenic subtype found on the surface of certain influenza A viruses, used to classify and distinguish viral strains.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674cba2748190a886ecd8316dc518 completed April 20, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0855311d4c8190bab2119e20359ae9 completed May 16, 2026, 11:29 a.m.
NEDg Description generation batch_6a0855c6bab08190831cc78647de84fc completed May 16, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0856e66c808190b5ef994f1cbc5f3e completed May 16, 2026, 11:37 a.m.
Created at: April 11, 2026, 11:41 p.m.