Triple
T37061519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 琵琶湖 |
E917336
|
entity |
| Predicate | 成立年代 |
P48685
|
FINISHED |
| Object | 数百万年前から存在するとされる古代湖 |
—
|
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: 数百万年前から存在するとされる古代湖 | Statement: [琵琶湖, 成立年代, 数百万年前から存在するとされる古代湖]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 成立年代 Context triple: [琵琶湖, 成立年代, 数百万年前から存在するとされる古代湖]
-
A.
eraOfEstablishment
chosen
Indicates the time period or historical era during which an entity was founded or established.
-
B.
establishedAt
Indicates the specific time or date at which something (such as an organization, system, or entity) was founded or brought into existence.
-
C.
hasYearOfEstablishment
Indicates the specific year in which an entity was founded, created, or formally established.
-
D.
placeEstablished
Indicates that an entity was founded, created, or formally established at a particular place or location.
-
E.
monthOfFormation
Indicates the specific calendar month in which an entity (such as an organization or group) was formally established or created.
- 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_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. |
Created at: May 3, 2026, 4:14 p.m.