Triple
T31631323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 三軒茶屋駅 |
E807172
|
entity |
| Predicate | エリア特徴 |
P130244
|
FINISHED |
| Object | 繁華街への玄関口 |
—
|
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: 繁華街への玄関口 | Statement: [三軒茶屋駅, エリア特徴, 繁華街への玄関口]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: エリア特徴 Context triple: [三軒茶屋駅, エリア特徴, 繁華街への玄関口]
-
A.
regionalCharacteristic
chosen
Indicates that a particular feature, quality, or attribute is typical of, or distinctive to, a specific geographic region.
-
B.
出身地の特徴
Indicates the characteristic or notable features associated with a person's place of origin.
-
C.
所在地エリア
Indicates the geographical area or region in which an entity is located or based.
-
D.
tourismCharacteristic
Indicates that something has a specific feature, quality, or attribute relevant to tourism, such as what makes a place, service, or activity notable or suitable for tourists.
-
E.
territoryFeature
Indicates that a specific geographic or physical feature is located within, characterizes, or is part of a given territory.
- 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_69f348d892948190915f8facacb9568c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a8e5799c8190900640d78b1c5990 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a757c6e081908e37631e5d8d246b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:45 p.m.