Triple
T31677807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Metro 9000 series EMU |
E808448
|
entity |
| Predicate | laterBatchesFeature |
P52452
|
FINISHED |
| Object | revised front-end design |
—
|
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: revised front-end design | Statement: [Tokyo Metro 9000 series EMU, laterBatchesFeature, revised front-end design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterBatchesFeature Context triple: [Tokyo Metro 9000 series EMU, laterBatchesFeature, revised front-end design]
-
A.
laterEntriesFeature
Indicates that the referenced entries appear at a later point in a sequence, timeline, or ordered collection than the current entry.
-
B.
laterFeature
chosen
Indicates that one feature, event, or element occurs or is introduced after another in time.
-
C.
laterFlag
Indicates that one event, state, or action occurs at a time later than another referenced event, state, or action.
-
D.
laterCommits
Indicates that one commit occurs chronologically after another in a version control history.
-
E.
laterTransmission
Indicates that one transmission event occurs after another in time.
- 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_69f348dcf5d48190ac25b1365ae717a8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff63225b6481909217ad11b4f7d3ba |
completed | May 9, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69ff60e0882c819085d097010db43ee0 |
completed | May 9, 2026, 4:29 p.m. |
Created at: April 30, 2026, 11:03 p.m.