Triple
T32749860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H5 series Shinkansen |
E837464
|
entity |
| Predicate | headEndCarDesignation |
P175066
|
FINISHED |
| Object | H521 |
—
|
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: H521 | Statement: [H5 series Shinkansen, headEndCarDesignation, H521]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headEndCarDesignation Context triple: [H5 series Shinkansen, headEndCarDesignation, H521]
-
A.
hasFullCarDesignation
Indicates that an entity is associated with a complete, formal car designation (such as full model name or code) rather than a partial or abbreviated identifier.
-
B.
vehicleName
Indicates the specific name or designation assigned to a vehicle.
-
C.
carModel
Indicates the specific model designation of a car within a particular make or brand.
-
D.
designedHead
Indicates that one entity is the primary designer or creator responsible for the conception or design of another entity.
-
E.
carManufacturer
Indicates that one entity is the company that produces or manufactures the car represented by the other entity.
- 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_69f34937f97c8190b7f84bea045df3ae |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cd9bae8c8190b528641499162a75 |
completed | May 3, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cd119cac8190a0b3ebe8b9c742c2 |
completed | May 3, 2026, 4:20 a.m. |
Created at: May 1, 2026, 1:12 a.m.