Triple
T37864681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 渡月橋 |
E944437
|
entity |
| Predicate | 災害履歴 |
P137414
|
FINISHED |
| Object | 度重なる洪水で架け替えが行われてきた |
—
|
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: 度重なる洪水で架け替えが行われてきた | Statement: [渡月橋, 災害履歴, 度重なる洪水で架け替えが行われてきた]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 災害履歴 Context triple: [渡月橋, 災害履歴, 度重なる洪水で架け替えが行われてきた]
-
A.
disasterHistory
chosen
Indicates that there is a record of past disasters or catastrophic events associated with the entity.
-
B.
disasterName
Indicates the specific name or title assigned to a particular disaster event.
-
C.
notableDisasterType
Indicates the specific kind or category of disaster for which something (such as a place, event, or entity) is notable or best known.
-
D.
disasterDepicted
Indicates that one entity visually represents or portrays a disaster involving or affecting another entity.
-
E.
impactOfDisasters
Indicates the effects or consequences that disasters have on entities, conditions, or outcomes.
- 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.