Triple

T22305679
Position Surface form Disambiguated ID Type / Status
Subject Nagaoka-tenjin Station E551367 entity
Predicate hasStationCode P1289 FINISHED
Object HK-75
HK-75 is the station code assigned to Nagaoka-tenjin Station on the Hankyu Railway network in Japan.
E1530439 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: HK-75 | Statement: [Nagaoka-tenjin Station, hasStationCode, HK-75]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HK-75
Context triple: [Nagaoka-tenjin Station, hasStationCode, HK-75]
  • A. HK-63
    HK-63 is the station code assigned to Awaji Station on the Hankyu Railway network in Japan.
  • B. 5050H series
    The 5050H series is a type of electric multiple unit train used for passenger services on the Nagoya Municipal Subway in Japan.
  • C. HK G3 series
    The HK G3 series is a family of 7.62×51mm NATO battle rifles developed in the 1950s that became one of the most widely used and influential military rifles worldwide.
  • D. HT-7
    HT-7 is a Chinese experimental tokamak fusion reactor that served as an important early platform for magnetic confinement fusion research.
  • E. Daewoo K1
    The Daewoo K1 is a South Korean 5.56×45mm NATO select-fire carbine developed in the late 1970s as a compact personal defense weapon for military and law enforcement forces.
  • 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: HK-75
Triple: [Nagaoka-tenjin Station, hasStationCode, HK-75]
Generated description
HK-75 is the station code assigned to Nagaoka-tenjin Station on the Hankyu Railway network in Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HK-75
Target entity description: HK-75 is the station code assigned to Nagaoka-tenjin Station on the Hankyu Railway network in Japan.
  • A. HK-63
    HK-63 is the station code assigned to Awaji Station on the Hankyu Railway network in Japan.
  • B. 5050H series
    The 5050H series is a type of electric multiple unit train used for passenger services on the Nagoya Municipal Subway in Japan.
  • C. HK G3 series
    The HK G3 series is a family of 7.62×51mm NATO battle rifles developed in the 1950s that became one of the most widely used and influential military rifles worldwide.
  • D. HT-7
    HT-7 is a Chinese experimental tokamak fusion reactor that served as an important early platform for magnetic confinement fusion research.
  • E. Daewoo K1
    The Daewoo K1 is a South Korean 5.56×45mm NATO select-fire carbine developed in the late 1970s as a compact personal defense weapon for military and law enforcement forces.
  • 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157276d3c8190a55c93760a986cdc completed April 29, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0acc9f16608190b6d1118238f96584 completed May 18, 2026, 8:23 a.m.
NEDg Description generation batch_6a0acec65ef48190a9961d2c03361258 completed May 18, 2026, 8:33 a.m.
NED2 Entity disambiguation (via description) batch_6a0acf8273388190ba99a4d5900a7cce completed May 18, 2026, 8:36 a.m.
Created at: April 16, 2026, 8:41 p.m.