Triple

T17859680
Position Surface form Disambiguated ID Type / Status
Subject Nagaoka Station E446034 entity
Predicate hasAdjacentStationOnJoetsuShinkansen P129037 FINISHED
Object Urasa Station
Urasa Station is a railway station in Minamiuonuma, Niigata Prefecture, Japan, served by both the Jōetsu Shinkansen high-speed line and local conventional lines.
 E2294414 NE FINISHED

How this triple was built (3 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: Urasa Station | Statement: [Nagaoka Station, hasAdjacentStationOnJoetsuShinkansen, Urasa Station]
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: Urasa Station
Triple: [Nagaoka Station, hasAdjacentStationOnJoetsuShinkansen, Urasa Station]
Generated description
Urasa Station is a railway station in Minamiuonuma, Niigata Prefecture, Japan, served by both the Jōetsu Shinkansen high-speed line and local conventional lines.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasAdjacentStationOnJoetsuShinkansen
Context triple: [Nagaoka Station, hasAdjacentStationOnJoetsuShinkansen, Urasa Station]
  • A. hasAdjacentStationOnFukutoshinLine
    Indicates that one station is directly next to another station along the Fukutoshin railway line.
  • B. adjacentStationsOnKeihinTōhokuLine
    Indicates that two stations are directly next to each other as consecutive stops on the Keihin-Tōhoku railway line.
  • C. adjacentStationOnChuoLine
    Indicates that two stations are directly next to each other as consecutive stops on the Chuo railway line.
  • D. adjacentStationOnYamanoteLine
    Indicates that one station is directly next to another station along the Yamanote Line, with no other stations in between.
  • E. hasAdjacentStationOnYurakuchoLine
    Indicates that one station is directly next to another station along the Yurakucho Line.
  • F. None of above. chosen

Provenance (7 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4978f34948190a25deb4fd617ad72 completed April 19, 2026, 8:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7be4af169c819088c939c986c3e4db completed Aug. 12, 2026, 3:12 a.m.
NEDg Description generation batch_6a7be4ebf2e08190890ea96f64608146 completed Aug. 12, 2026, 3:13 a.m.
NED2 Entity disambiguation (via description) batch_6a7be55beb1c81908236ec2c6d2ee9d8 completed Aug. 12, 2026, 3:15 a.m.
PD Predicate disambiguation batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 completed April 18, 2026, 7:17 p.m.
PDg Predicate description generation batch_69e3db7704588190a34a422421152173 completed April 18, 2026, 7:28 p.m.
Created at: April 10, 2026, 10:17 a.m.