Triple
T34262383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JY22 |
E879068
|
entity |
| Predicate | appliesToLineSection |
P64960
|
FINISHED |
| Object | Yamanote Line Meguro segment |
—
|
NE NERFINISHED |
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: Yamanote Line Meguro segment | Statement: [JY22, appliesToLineSection, Yamanote Line Meguro segment]
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 (3 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. |
| PD | Predicate disambiguation | batch_69ff24f3ab108190bb017a656cff3d82 |
completed | May 9, 2026, 12:13 p.m. |
Created at: May 1, 2026, 1:56 a.m.