Triple

T21283520
Position Surface form Disambiguated ID Type / Status
Subject Keisei Ueno Station E524591 entity
Predicate hasStationCode P1289 FINISHED
Object KS01
KS01 is the station code assigned to Keisei Ueno Station on the Keisei Electric Railway network in Tokyo, Japan.
 E1476057 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: KS01 | Statement: [Keisei Ueno Station, hasStationCode, KS01]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KS01
Context triple: [Keisei Ueno Station, hasStationCode, KS01]
  • A. KY-01
    KY-01 is the abbreviated designation for Kentucky's 1st congressional district in the United States House of Representatives.
  • B. KS
    KS is the standard two-letter postal abbreviation for the U.S. state of Kansas.
  • C. KS
    KS is the vehicle registration code used on license plates for the German city of Kassel.
  • D. KS10
    KS10 is a later, cost-reduced model of Digital Equipment Corporation’s PDP-10 mainframe line, integrating the CPU onto fewer, more modern hardware modules.
  • E. K_S^0
    K_S^0 is the short-lived neutral kaon, a subatomic meson that participates in weak interactions and exhibits CP-violating behavior.
  • 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: KS01
Triple: [Keisei Ueno Station, hasStationCode, KS01]
Generated description
KS01 is the station code assigned to Keisei Ueno Station on the Keisei Electric Railway network in Tokyo, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KS01
Target entity description: KS01 is the station code assigned to Keisei Ueno Station on the Keisei Electric Railway network in Tokyo, Japan.
  • A. KY-01
    KY-01 is the abbreviated designation for Kentucky's 1st congressional district in the United States House of Representatives.
  • B. KS
    KS is the standard two-letter postal abbreviation for the U.S. state of Kansas.
  • C. KS
    KS is the vehicle registration code used on license plates for the German city of Kassel.
  • D. KS10
    KS10 is a later, cost-reduced model of Digital Equipment Corporation’s PDP-10 mainframe line, integrating the CPU onto fewer, more modern hardware modules.
  • E. K_S^0
    K_S^0 is the short-lived neutral kaon, a subatomic meson that participates in weak interactions and exhibits CP-violating behavior.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d3dfbc819081bd876d95c7c480 completed April 21, 2026, 8:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09980794088190a54f7f00c2d3b3fb completed May 17, 2026, 10:27 a.m.
NEDg Description generation batch_6a0998a3326481908a4dfddfb7b2ecd9 completed May 17, 2026, 10:29 a.m.
NED2 Entity disambiguation (via description) batch_6a09996c8d7c81908cc9874f6e1a3fff completed May 17, 2026, 10:33 a.m.
Created at: April 16, 2026, 4:03 p.m.