Triple

T34262383
Position Surface form Disambiguated ID Type / Status
Subject JY22 E879068 entity
Predicate appliesToLineSection P64960 FINISHED
Object Yamanote Line Meguro segment
The Yamanote Line Meguro segment is the portion of Tokyo’s circular Yamanote railway line that serves the Meguro area, connecting Meguro Station with adjacent stops on this busy urban loop.
 E2297630 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: Yamanote Line Meguro segment | Statement: [JY22, appliesToLineSection, Yamanote Line Meguro segment]
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: Yamanote Line Meguro segment
Triple: [JY22, appliesToLineSection, Yamanote Line Meguro segment]
Generated description
The Yamanote Line Meguro segment is the portion of Tokyo’s circular Yamanote railway line that serves the Meguro area, connecting Meguro Station with adjacent stops on this busy urban loop.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: appliesToLineSection
Context triple: [JY22, appliesToLineSection, Yamanote Line Meguro segment]
  • A. appliesToSectionOf chosen
    Indicates that something is relevant or applicable specifically to a particular section or subsection of a larger whole.
  • B. hasLineSection
    Indicates that an entity includes, contains, or is composed of a specific segment or section of a line.
  • C. appliesToSegment
    Indicates that something is relevant or specifically directed toward a particular segment or subset within a larger whole.
  • D. accessibleForLine
    Indicates that something (such as a resource, area, or facility) can be reached, used, or served by a particular line (e.g., a transport or service line).
  • E. lineSectionServed
    Indicates that a particular line section is operated or covered by a given service or route.
  • F. None of above.

Provenance (6 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_69f349b421cc8190b4b4655e1d612548 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69ff255b84788190a94682f4efe1d0b8 completed May 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a83b84888208190a2d9ea91f3415cca completed Aug. 18, 2026, 1:41 a.m.
NEDg Description generation batch_6a83b88569588190913f27828b99cae4 completed Aug. 18, 2026, 1:42 a.m.
NED2 Entity disambiguation (via description) batch_6a83b8de0c4481909612746f1b8330f0 completed Aug. 18, 2026, 1:43 a.m.
PD Predicate disambiguation batch_69ff24f3ab108190bb017a656cff3d82 completed May 9, 2026, 12:13 p.m.
Created at: May 1, 2026, 1:56 a.m.