Triple
T31156155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | オリックス・バファローズ |
E794213
|
entity |
| Predicate | 合併成立年 |
P176
|
FINISHED |
| Object | 2004年 |
—
|
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: 2004年 | Statement: [オリックス・バファローズ, 合併成立年, 2004年]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 合併成立年 Context triple: [オリックス・バファローズ, 合併成立年, 2004年]
-
A.
mergerYear
chosen
Indicates the year in which two or more entities formally merged into a single entity.
-
B.
monthOfFormation
Indicates the specific calendar month in which an entity (such as an organization or group) was formally established or created.
-
C.
officeReestablishedYear
Indicates the year in which an office or official position was reestablished after having been previously discontinued or abolished.
-
D.
establishedAt
Indicates the specific time or date at which something (such as an organization, system, or entity) was founded or brought into existence.
-
E.
hasYearOfEstablishment
Indicates the specific year in which an entity was founded, created, or formally established.
- 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_69f224d504908190b01278dcb7fc3fa7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:07 p.m.