Triple
T17009824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jiyugaoka Station |
E412667
|
entity |
| Predicate | hasSurroundingAreaCharacteristic |
P13155
|
FINISHED |
| Object | fashionable neighborhood |
—
|
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: fashionable neighborhood | Statement: [Jiyugaoka Station, hasSurroundingAreaCharacteristic, fashionable neighborhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurroundingAreaCharacteristic Context triple: [Jiyugaoka Station, hasSurroundingAreaCharacteristic, fashionable neighborhood]
-
A.
hasSurroundings
chosen
Indicates that an entity is located within or encircled by a particular environment, context, or set of surrounding elements.
-
B.
hasProtectedAreaCoverage
Indicates that a specified portion or extent of an area falls within officially designated protected areas.
-
C.
enclosesArea
Indicates that one entity surrounds and contains a bounded region of space occupied or defined by another.
-
D.
hasAreaType
Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
-
E.
surrounds
Indicates that one entity is located all around another entity, enclosing or encircling it on multiple sides or completely.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47a8444819081f1262eb7dbda40 |
completed | April 18, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.