Triple
T11309783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 淀川 |
E267806
|
entity |
| Predicate | 流域地方 |
P72732
|
FINISHED |
| Object | 近畿地方 |
—
|
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: 近畿地方 | Statement: [淀川, 流域地方, 近畿地方]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 流域地方 Context triple: [淀川, 流域地方, 近畿地方]
-
A.
resourceBasin
Indicates a relationship where a basin serves as a source or reservoir of resources for another entity or area.
-
B.
hydrologicallyLocatedIn
Indicates that a water-related feature (such as a river, lake, or watershed) is situated within or associated with a specific geographic or administrative area in terms of hydrology.
-
C.
basinDistrict
Indicates a relationship where an administrative or geographic district is associated with, or falls within, a particular drainage or river basin.
-
D.
basinPartOf
Indicates that one basin is a component or subdivision of a larger basin or basin system.
-
E.
associatedRiverBasin
chosen
Indicates that one entity is linked to, or lies within the drainage area of, a particular river basin.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787aa31888190860eecaa80da5b20 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.