Triple
T35616299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JR Central (Tokaido Shinkansen) |
E1029176
|
entity |
| Predicate | parentCompanyAbbreviation |
P7408
|
FINISHED |
| Object | JR Central |
—
|
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: JR Central | Statement: [JR Central (Tokaido Shinkansen), parentCompanyAbbreviation, JR Central]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentCompanyAbbreviation Context triple: [JR Central (Tokaido Shinkansen), parentCompanyAbbreviation, JR Central]
-
A.
hasParentCompanyAbbreviation
Indicates that one entity has a parent company whose name is represented by a specific abbreviation.
-
B.
originalCompanyAbbreviation
Indicates that an abbreviation represents the shortened or initial-based form of an original company’s full name.
-
C.
operatingCompanyAbbreviation
Indicates that the object is an abbreviated or shortened form of the name of the company that operates the subject.
-
D.
parentOrganizationAbbreviation
chosen
Indicates that the object is the abbreviated name or acronym of the subject’s parent organization.
-
E.
underlyingCompanyAbbreviation
Indicates that one entity is the abbreviated or short-form name used to refer to an underlying company represented by 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_69f76e0709408190bbe322bf1707ef6b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fdfbafe32081909c62653ff4fc155c |
completed | May 8, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69fdf64db4a881908f8250e24ae3cefb |
completed | May 8, 2026, 2:42 p.m. |
Created at: May 3, 2026, 4:05 p.m.