Triple
T15736086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple 39: Enkōji |
E381473
|
entity |
| Predicate | hasPilgrimageOrderRole |
P120410
|
FINISHED |
| Object | transition from temple 38 to temple 40 on Shikoku route |
—
|
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: transition from temple 38 to temple 40 on Shikoku route | Statement: [Temple 39: Enkōji, hasPilgrimageOrderRole, transition from temple 38 to temple 40 on Shikoku route]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPilgrimageOrderRole Context triple: [Temple 39: Enkōji, hasPilgrimageOrderRole, transition from temple 38 to temple 40 on Shikoku route]
-
A.
hasPilgrimageOrder
Indicates that an entity is associated with or follows a specific religious pilgrimage order or tradition.
-
B.
hasPilgrimageRank
Indicates that an entity holds a specific status or level within a hierarchy related to pilgrimage.
-
C.
hasPilgrimageFrom
Indicates that a pilgrimage originates from or is undertaken starting at a specified location or source.
-
D.
hasPilgrimageType
Indicates that an entity is associated with a specific type or category of pilgrimage.
-
E.
hasPilgrimageRouteType
Indicates that a pilgrimage route is associated with a specific type or category of pilgrimage path.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0052c6208819098165d61d378d13b |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e0b4d01c9c81909f6b611e8144c838 |
completed | April 16, 2026, 10:07 a.m. |
Created at: April 10, 2026, 4:46 a.m.