Triple
T14930841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple 87: Nagaoji |
E372258
|
entity |
| Predicate | hasDaishido |
P116710
|
FINISHED |
| Object | Hall dedicated to Kūkai |
—
|
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: Hall dedicated to Kūkai | Statement: [Temple 87: Nagaoji, hasDaishido, Hall dedicated to Kūkai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDaishido Context triple: [Temple 87: Nagaoji, hasDaishido, Hall dedicated to Kūkai]
-
A.
hasHonden
Indicates that an entity possesses or includes a honden, typically referring to the main sanctuary building in a Shinto shrine.
-
B.
hasTorii
Indicates that something possesses or features a torii gate as part of its structure or environment.
-
C.
hasIdolOf
Indicates that one entity possesses or is associated with an idol that represents, depicts, or honors another entity.
-
D.
hasWaka
Indicates that an entity possesses, contains, or is associated with a waka (such as a traditional canoe, vessel, or similarly defined object).
-
E.
hasSori
Indicates that a plant or similar organism possesses sori, the spore-producing structures typically found on the underside of fronds or leaves.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64550dc8190ba44120df00ba498 |
completed | April 15, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:36 a.m.