Triple
T33180988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chikuho Main Line |
E849324
|
entity |
| Predicate | hasOwnerAfterJNRPrivatization |
P168962
|
FINISHED |
| Object | JR Kyushu |
—
|
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 Kyushu | Statement: [Chikuho Main Line, hasOwnerAfterJNRPrivatization, JR Kyushu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOwnerAfterJNRPrivatization Context triple: [Chikuho Main Line, hasOwnerAfterJNRPrivatization, JR Kyushu]
-
A.
ownershipStatusAfterPrivatisation
chosen
Indicates the type or state of ownership an entity has after a privatisation process has taken place.
-
B.
ownedByAfterNationalisation
Indicates that an entity became owned by another entity as a result of a nationalisation process occurring after a specified point in time.
-
C.
ownershipAfter1976
Indicates that one entity holds ownership of another entity starting from a point in time after the year 1976.
-
D.
hasOwnerWhoLaterOwned
Indicates that an entity is owned by someone who, at a later time, also became the owner of another specified entity.
-
E.
hasOwnerInThePast
Indicates that an entity was owned by another entity at some time in the past, but not necessarily in the present.
- 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_69f3495d06508190b0b7729982982cea |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:29 a.m.