Triple
T37831517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōtsu-juku |
E943214
|
entity |
| Predicate | regionRelativeToLakeBiwa |
P122238
|
FINISHED |
| Object | southern shore area of Lake Biwa |
—
|
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: southern shore area of Lake Biwa | Statement: [Ōtsu-juku, regionRelativeToLakeBiwa, southern shore area of Lake Biwa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionRelativeToLakeBiwa Context triple: [Ōtsu-juku, regionRelativeToLakeBiwa, southern shore area of Lake Biwa]
-
A.
isLocatedNearBasin
Indicates that one entity is situated close to or in the immediate vicinity of a basin.
-
B.
surroundedLake
Indicates that a lake is completely enclosed or encircled by a surrounding geographic feature or area.
-
C.
refersToGeographicFeature
Indicates that one entity makes reference to, denotes, or is associated with a specific geographic feature such as a landform, body of water, or other physical location.
-
D.
lakeIsOneOf
Indicates that the subject lake belongs to a specified set or category of lakes.
-
E.
hasNearbyLakeRegion
chosen
Indicates that one region is located close to a lake or lake-dominated area.
- 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_69f76eea4c8c8190a335aed5955cf2db |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00781b749c8190921c46e110cae0b0 |
completed | May 10, 2026, 12:20 p.m. |
| PD | Predicate disambiguation | batch_6a0077df3c8481909fabc9e84f5936e3 |
completed | May 10, 2026, 12:19 p.m. |
Created at: May 3, 2026, 4:19 p.m.