Triple
T10485381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itsukushima Shrine |
E247280
|
entity |
| Predicate | shrineBuildingsSupportedBy |
P94562
|
FINISHED |
| Object | wooden piles driven into seabed |
—
|
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: wooden piles driven into seabed | Statement: [Itsukushima Shrine, shrineBuildingsSupportedBy, wooden piles driven into seabed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shrineBuildingsSupportedBy Context triple: [Itsukushima Shrine, shrineBuildingsSupportedBy, wooden piles driven into seabed]
-
A.
shrineType
Indicates the specific category or kind of shrine associated with an entity.
-
B.
hasShrinesIn
Indicates that one entity possesses or maintains shrines that are located within the area or domain of another entity.
-
C.
enshrines
Indicates that one entity formally preserves, protects, or honors another by giving it a permanent, often sacred or legally recognized, status.
-
D.
associatedShrine
Indicates that there is a specific shrine linked or connected to the given entity, typically as its dedicated or related place of worship or reverence.
-
E.
numberOfShrines
Indicates the total count of shrines associated with a given entity or context.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5096988ec81908d7518b09256c145 |
completed | April 7, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8a30848190b33cf43f005a028e |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d5092af880819082b42c0a68e45c5f |
completed | April 7, 2026, 1:39 p.m. |
Created at: April 6, 2026, 12:23 p.m.