Triple
T28813612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 新富士駅 |
E727579
|
entity |
| Predicate | ホーム種別 |
P165615
|
FINISHED |
| Object | 新幹線専用ホーム |
—
|
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: 新幹線専用ホーム | Statement: [新富士駅, ホーム種別, 新幹線専用ホーム]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ホーム種別 Context triple: [新富士駅, ホーム種別, 新幹線専用ホーム]
-
A.
homeSeed
Indicates a relationship where an entity serves as the originating or primary source (the "seed") associated with a particular home, base, or starting location.
-
B.
plantType
Indicates the specific kind or category of plant that an entity is classified as.
-
C.
hostPlantType
Indicates the type or category of plant that serves as a host for another organism (such as an insect, fungus, or parasite).
-
D.
cultivationType
Indicates the method or system by which something (typically crops or land) is cultivated or farmed.
-
E.
crop
Indicates the action of cutting or trimming part of an object or image, typically to remove unwanted outer areas while keeping a selected region.
- F. None of above. chosen
Provenance (4 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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6596b210481908af6cd555748f75b |
completed | May 2, 2026, 8:07 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f658ebeca4819096beb3f98f73fe31 |
completed | May 2, 2026, 8:05 p.m. |
Created at: April 28, 2026, 6:32 a.m.