Triple
T8090426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinjuku Gyoen National Garden |
E188843
|
entity |
| Predicate | isOasisWithin |
P57262
|
FINISHED |
| Object | central Tokyo |
—
|
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: central Tokyo | Statement: [Shinjuku Gyoen National Garden, isOasisWithin, central Tokyo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOasisWithin Context triple: [Shinjuku Gyoen National Garden, isOasisWithin, central Tokyo]
-
A.
isOasis
Indicates that a location is a fertile, water-rich spot within an otherwise arid or desert environment.
-
B.
isInIsland
Indicates that one entity is located within the geographic boundaries of an island.
-
C.
existsWithin
chosen
Indicates that one entity is located inside the spatial, temporal, or conceptual boundaries of another entity.
-
D.
isInLand
Indicates that one entity is located within the geographical boundaries of a land area or territory of another entity.
-
E.
isInArea
Indicates that one entity is located within the spatial bounds or region defined by 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb421fb8348190b6495394d498d3f4 |
completed | March 31, 2026, 3:40 a.m. |
| PD | Predicate disambiguation | batch_69cb04a14cd88190a79ed26cbeec1c33 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:29 p.m.