Triple
T26872656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arakawa Natural Park |
E676654
|
entity |
| Predicate | hasRiversideScenery |
P50435
|
FINISHED |
| Object | Arakawa River area |
—
|
NE NERFINISHED |
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: Arakawa River area | Statement: [Arakawa Natural Park, hasRiversideScenery, Arakawa River area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRiversideScenery Context triple: [Arakawa Natural Park, hasRiversideScenery, Arakawa River area]
-
A.
hasRiverBeach
Indicates that a location includes or is characterized by a beach area along a river.
-
B.
isRiverside
chosen
Indicates that one entity is located beside or along the bank of a river in relation to another entity.
-
C.
hasWaterfrontView
Indicates that a property or location offers a direct view of a body of water from its premises.
-
D.
hasLakeLandscape
Indicates that an entity features or is characterized by a landscape that includes a lake.
-
E.
hasWaterfrontPark
Indicates that a place or area includes or is associated with a park located directly along a body of water.
- 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_69eee9bb44988190b6e11652d028bc59 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 27, 2026, 5:33 a.m.