Triple
T37061517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 琵琶湖 |
E917336
|
entity |
| Predicate | 周囲長 |
P187300
|
FINISHED |
| Object | 約235キロメートル |
—
|
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: 約235キロメートル | Statement: [琵琶湖, 周囲長, 約235キロメートル]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 周囲長 Context triple: [琵琶湖, 周囲長, 約235キロメートル]
-
A.
夫の地位
Indicates the social or professional status or position held by a husband in relation to others.
-
B.
Juyo
Indicates a relationship where one entity is associated with or characterized by the concept or style referred to as "Juyo."
-
C.
築城者
Indicates the agent or person responsible for constructing or building a castle or fortress.
-
D.
ShigeruIs
Indicates that an entity is identified as or classified as Shigeru.
-
E.
Wang Ben
Indicates a relationship or action involving an entity named "Wang Ben," such as authorship, participation, or association, depending on the specific context in which the predicate is used.
- 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.