Triple
T24989809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T-10 |
E625414
|
entity |
| Predicate | codeForPlatformGroup |
P19884
|
FINISHED |
| Object | Tozai Line platforms at Nihonbashi Station |
—
|
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: Tozai Line platforms at Nihonbashi Station | Statement: [T-10, codeForPlatformGroup, Tozai Line platforms at Nihonbashi Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codeForPlatformGroup Context triple: [T-10, codeForPlatformGroup, Tozai Line platforms at Nihonbashi Station]
-
A.
platformCode
chosen
Indicates the specific code or identifier assigned to a platform (such as a station platform or service platform) associated with the subject entity.
-
B.
codeForSystem
Indicates that something serves as the code, identifier, or encoding used within or by a particular system.
-
C.
codeFor
Indicates that one entity serves as the implementation, encoding, or programmatic representation for another entity.
-
D.
codeForLanguage
Indicates that a piece of code is written in, or intended to be executed by, a particular programming or markup language.
-
E.
configurationCode
Indicates that an entity is associated with a specific configuration identifier or code that defines its setup or settings.
- 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f44a4416e881909c58f3b4d9e4b42d |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6:03 a.m.