Triple
T28813427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 富士川 |
E727575
|
entity |
| Predicate | 関連山 |
P127519
|
FINISHED |
| Object | 富士山 |
—
|
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: 富士山 | Statement: [富士川, 関連山, 富士山]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 関連山 Context triple: [富士川, 関連山, 富士山]
-
A.
関連する山頂
chosen
Indicates a relationship where one mountain peak is associated or connected to another mountain peak in some relevant way.
-
B.
Gitwangak Battle Hill
Indicates a historical or geographic relationship in which events, conflicts, or activities are associated with the specific site known as Gitwangak Battle Hill.
-
C.
parentMountain
Indicates that one mountain is considered the larger or primary "parent" from which another, related "child" mountain is derived or associated.
-
D.
associatedValley
Indicates that one entity is connected or linked to a particular valley, typically as its related or corresponding valley.
-
E.
prominenceRelativeToKibo
Indicates how prominent or noticeable one entity is in comparison to Kibo.
- 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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f658f163a88190b1dd222eaa0f93ea |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:31 a.m.