Triple
T26340666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gokishichidō system |
E662636
|
entity |
| Predicate | goKiIncluded |
P160259
|
FINISHED |
| Object | Yamashiro Province |
—
|
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: Yamashiro Province | Statement: [Gokishichidō system, goKiIncluded, Yamashiro Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goKiIncluded Context triple: [Gokishichidō system, goKiIncluded, Yamashiro Province]
-
A.
isKICOf
Indicates that one entity is the Kepler Input Catalog (KIC) identifier or entry corresponding to another astronomical object.
-
B.
hasKIC
Indicates that an entity is associated with or identified by a Kepler Input Catalog (KIC) identifier.
-
C.
kitType
Indicates the specific category or configuration of a kit associated with an entity or activity.
-
D.
hasKamiType
Indicates that an entity is associated with or classified under a specific type or category of kami.
-
E.
hasKata
Indicates that an entity possesses, practices, or is associated with a specific kata (a formalized sequence of movements or techniques).
- 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60fa2af708190a41199a1bd022ed2 |
completed | May 2, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f5ffc6268c8190b63f6360ebadab73 |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 26, 2026, 10:38 p.m.