Triple
T28200559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E3 series Shinkansen |
E716870
|
entity |
| Predicate | seriesVariant |
P13477
|
FINISHED |
| Object | E3-0 series |
—
|
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: E3-0 series | Statement: [E3 series Shinkansen, seriesVariant, E3-0 series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesVariant Context triple: [E3 series Shinkansen, seriesVariant, E3-0 series]
-
A.
hasVariantSeries
chosen
Indicates a relationship where one entity is a variant or alternative series derived from or associated with another series.
-
B.
seriesCode
Indicates that an entity is assigned a specific code identifying the series or collection to which it belongs.
-
C.
seriesOf
Indicates that one entity is a sequence or ordered set of related items, events, or parts that collectively form or belong to another entity.
-
D.
seriesBy
Indicates that one entity is the creator, author, or originator of a series to which the other entity belongs.
-
E.
seriesWith
Indicates that one entity is part of, or grouped together in, the same series or sequence as another entity.
- 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_69efd6b826908190857e6e7dad74ed93 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 27, 2026, 10:31 p.m.