Triple
T38068128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 空海 |
E950524
|
entity |
| Predicate | 渡航先 |
P189931
|
FINISHED |
| Object | 唐 |
—
|
NE NERFINISHED |
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: 唐 | Statement: [空海, 渡航先, 唐]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 渡航先 Context triple: [空海, 渡航先, 唐]
-
A.
渡仏年
Indicates the year in which someone went to or moved to France.
-
B.
前任者（連合艦隊司令長官）
Indicates that one entity is the predecessor in the role of Commander-in-Chief of the Combined Fleet relative to another entity.
-
C.
Wang Ben
Indicates a relationship or action involving an entity named "Wang Ben," such as authorship, participation, or association, depending on the specific context in which the predicate is used.
-
D.
別当寺格
Indicates a formal relationship in which a temple holds the status or rank of a “bettō-ji,” serving as an administratively or ritually responsible temple attached to a shrine or institution.
-
E.
hasFerryman
Indicates that one entity serves as the ferryman (the operator of a ferry or boat that transports others) for another entity.
- 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_69f76f02a6c48190a94f3c0b3ee90cf2 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc44c7e73c819082d4fc1900fb9632 |
completed | May 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69fbc8efffbc8190a139798ad1880526 |
completed | May 6, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fc44c67118819088accfeded7b449e |
completed | May 7, 2026, 7:52 a.m. |
Created at: May 3, 2026, 4:21 p.m.