Triple
T14083573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Series E5 Shinkansen |
E338930
|
entity |
| Predicate | noseLength |
P112743
|
FINISHED |
| Object | approximately 15 m |
—
|
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: approximately 15 m | Statement: [Series E5 Shinkansen, noseLength, approximately 15 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: noseLength Context triple: [Series E5 Shinkansen, noseLength, approximately 15 m]
-
A.
noseType
Indicates the specific shape or classification of a nose that an entity possesses.
-
B.
hasColorOfNose
Indicates that one entity possesses a nose whose color matches or is characterized by the specified color entity.
-
C.
nostrilOrientation
Indicates the directional alignment or facing angle of an entity’s nostrils relative to a reference frame or axis.
-
D.
snoutType
Indicates the type or form of an entity’s snout in relation to its overall morphology.
-
E.
earLength
Indicates the length of an entity’s ear(s), typically as a measurable physical attribute.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ede40048190b465e909565730c1 |
completed | April 14, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69de05b0e6c88190a819eeba0028981f |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:21 p.m.