Triple
T31677806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Metro 9000 series EMU |
E808448
|
entity |
| Predicate | hasMultipleBatches |
P192656
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [Tokyo Metro 9000 series EMU, hasMultipleBatches, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMultipleBatches Context triple: [Tokyo Metro 9000 series EMU, hasMultipleBatches, yes]
-
A.
hasMultiple
Indicates that an entity is associated with more than one instance or occurrence of another related entity.
-
B.
hasMultiplePhases
Indicates that the related process, event, or activity occurs in more than one distinct phase or stage.
-
C.
supportsBatchProcessing
Indicates that the subject can handle multiple items or tasks in a single grouped operation rather than processing them individually.
-
D.
supportsBatchSize
Indicates that one entity can handle or is compatible with processing multiple items together in a single batch of a specified size.
-
E.
hasMultipleVersions
Indicates that an entity exists in more than one distinct version or revision.
- F. None of above. chosen
Provenance (4 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_69f348dcf5d48190ac25b1365ae717a8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
| PDg | Predicate description generation | batch_69fd231bdd108190900369e07c854e95 |
completed | May 7, 2026, 11:41 p.m. |
Created at: April 30, 2026, 11:03 p.m.