Triple
T37864684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 渡月橋 |
E944437
|
entity |
| Predicate | 観光客数 |
P80470
|
FINISHED |
| Object | 年間を通じて多くの観光客が訪れる |
—
|
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: 年間を通じて多くの観光客が訪れる | Statement: [渡月橋, 観光客数, 年間を通じて多くの観光客が訪れる]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 観光客数 Context triple: [渡月橋, 観光客数, 年間を通じて多くの観光客が訪れる]
-
A.
hasTouristVisits
Indicates that one entity experiences or records visits from tourists to another entity.
-
B.
touristArrivalsPerYearApprox
Indicates an approximate count of how many tourists arrive at a place over the course of a year.
-
C.
touristTraffic
chosen
Indicates the level, flow, or intensity of tourists visiting or moving through a particular place or area.
-
D.
touristArrivalsShareInTerritory
Indicates the proportion of total tourist arrivals that occur within a specific territory relative to a larger reference area or total.
-
E.
visits
Indicates that one entity goes to or spends time at the location or presence of another entity.
- 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.