Triple

T27386641
Position Surface form Disambiguated ID Type / Status
Subject Katsushika, Tokyo E691392 entity
Predicate railwayServedBy P782 FINISHED
Object Hokusō Line
The Hokusō Line is a Japanese commuter railway line in the Tokyo–Chiba area, operated by Hokusō Railway and known for providing a key high-speed link between central Tokyo and Narita Airport.
 E2293835 NE FINISHED

How this triple was built (2 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: Hokusō Line | Statement: [Katsushika, Tokyo, railwayServedBy, Hokusō Line]
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: Hokusō Line
Triple: [Katsushika, Tokyo, railwayServedBy, Hokusō Line]
Generated description
The Hokusō Line is a Japanese commuter railway line in the Tokyo–Chiba area, operated by Hokusō Railway and known for providing a key high-speed link between central Tokyo and Narita Airport.

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_69ef520386788190bc92cfcd97ebb67a completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62c8bd8508190b865c41da9f37d28 completed May 2, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7b14ed3f548190b72216cc9356dab3 completed Aug. 11, 2026, 12:26 p.m.
NEDg Description generation batch_6a7b159d82648190a8aa2f16cdab7b85 completed Aug. 11, 2026, 12:29 p.m.
NED2 Entity disambiguation (via description) batch_6a7b165f5480819086b26641a3ad0cd2 completed Aug. 11, 2026, 12:32 p.m.
Created at: April 27, 2026, 12:24 p.m.