Triple
T37864667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 渡月橋 |
E944437
|
entity |
| Predicate | 周辺観光地 |
P19575
|
FINISHED |
| Object | 嵐山公園 |
—
|
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: 嵐山公園 | Statement: [渡月橋, 周辺観光地, 嵐山公園]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 周辺観光地 Context triple: [渡月橋, 周辺観光地, 嵐山公園]
-
A.
nearbyWorldHeritageSite
Indicates that one entity is located close to, or in the immediate vicinity of, a designated World Heritage Site.
-
B.
notableNearbySite
chosen
Indicates that one entity is a significant or noteworthy site located close to another entity.
-
C.
hasNearbyPilgrimageSite
Indicates that one entity is located close to a place used as a pilgrimage site for religious or spiritual journeys.
-
D.
typicalSights
Indicates that certain sights or visual features are commonly or characteristically observed in association with a given entity or context.
-
E.
nearestTouristDestination
Indicates that one location is the closest tourist destination to another specified location.
- 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.