Triple
T21715837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 国府津駅 |
E536025
|
entity |
| Predicate | 旧所属 |
P59297
|
FINISHED |
| Object | 日本国有鉄道 |
—
|
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: 日本国有鉄道 | Statement: [国府津駅, 旧所属, 日本国有鉄道]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 旧所属 Context triple: [国府津駅, 旧所属, 日本国有鉄道]
-
A.
初代
Indicates that an entity is the first generation, original, or inaugural holder/instance of a title, role, series, or lineage.
-
B.
ownedIn
Indicates that one entity possesses or holds legal or recognized ownership of another entity within a specific context, domain, or scope.
-
C.
previouslyPossessedBy
chosen
Indicates that an entity was owned or possessed by another entity at some time in the past, but is not necessarily possessed by that entity now.
-
D.
formerCollectionOf
Indicates that an entity once served as a collection or repository for another entity, but no longer holds that role.
-
E.
isYoungerRemnantOf
Indicates that one entity is the surviving, younger portion or successor of another entity that existed earlier and has largely disappeared or transformed.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96ab4c88190b76f4a6b7c855039 |
completed | April 27, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:47 p.m.