Triple
T37060869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JR片町線 |
E917319
|
entity |
| Predicate | 開業主体 |
P187296
|
FINISHED |
| Object | 日本国有鉄道 |
—
|
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: 日本国有鉄道 | Statement: [JR片町線, 開業主体, 日本国有鉄道]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 開業主体 Context triple: [JR片町線, 開業主体, 日本国有鉄道]
-
A.
所属事業者
Indicates that one entity is the business operator or company to which another entity belongs or is affiliated.
-
B.
後身事業者
Indicates that one entity is the successor organization or business that continues or takes over the operations, roles, or functions of another.
-
C.
opensShopTo
Indicates that one entity makes a shop accessible or available for another entity, typically by starting or unlocking its operation for them.
-
D.
operatedEstablishmentIn
Indicates that an entity ran or managed an establishment located within a specified place or jurisdiction.
-
E.
establishmentType
Indicates the specific kind or category of establishment that an entity is classified as.
- 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb34e4906c8190abb1c293fb84329a |
completed | May 6, 2026, 12:32 p.m. |
Created at: May 3, 2026, 4:14 p.m.