Triple
T27377269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uchibō Line |
E691107
|
entity |
| Predicate | ownerBefore1987 |
P164503
|
FINISHED |
| Object | Japanese National Railways |
—
|
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: Japanese National Railways | Statement: [Uchibō Line, ownerBefore1987, Japanese National Railways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownerBefore1987 Context triple: [Uchibō Line, ownerBefore1987, Japanese National Railways]
-
A.
ownerAfter1993
Indicates that an entity became the owner of another entity at some point after the year 1993.
-
B.
ownershipBefore1917
Indicates that one entity owned or possessed another entity at some time prior to the year 1917.
-
C.
ownershipAfter1976
Indicates that one entity holds ownership of another entity starting from a point in time after the year 1976.
-
D.
ownerAfter1947
Indicates that an entity became the owner of another entity at some point after the year 1947.
-
E.
formerOwnerFamily
Indicates that a member of the subject’s family previously owned the object but no longer does.
- 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_69ef52022538819081f873d0c84a6dd6 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f64e6e8c9081908ce4d364aa26147a |
completed | May 2, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 27, 2026, 12:21 p.m.