Triple
T13067352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shimogamo Shrine |
E329361
|
entity |
| Predicate | hasWaterPurificationBasin |
P54063
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Shimogamo Shrine, hasWaterPurificationBasin, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterPurificationBasin Context triple: [Shimogamo Shrine, hasWaterPurificationBasin, yes]
-
A.
hasDrinkingWaterFacilities
Indicates that a place or facility provides access to safe drinking water sources or infrastructure for people to use.
-
B.
usesWaterTreatment
chosen
Indicates that an entity applies or relies on a water treatment process or system in its operations or activities.
-
C.
isPartOfWaterSystem
Indicates that one entity is a component, segment, or subsystem within a larger water distribution, treatment, or management system.
-
D.
hasWaterManagementStructure
Indicates that one entity possesses, contains, or is associated with a built feature used to control, store, convey, or manage water.
-
E.
hasWaterUse
Indicates a relationship where one entity utilizes or consumes water for a particular purpose, process, or function.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980ec8ba48190baf52c7823482680 |
completed | April 10, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69d9803d46688190bac6b7d208f08d01 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9 p.m.