Triple
T25168109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikkō Tōshō-gū |
E630238
|
entity |
| Predicate | majorReconstructionYear |
P9623
|
FINISHED |
| Object | 1636 |
—
|
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: 1636 | Statement: [Nikkō Tōshō-gū, majorReconstructionYear, 1636]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorReconstructionYear Context triple: [Nikkō Tōshō-gū, majorReconstructionYear, 1636]
-
A.
reconstructionYear
chosen
Indicates the year in which something was rebuilt, restored, or reconstructed after damage, alteration, or destruction.
-
B.
reconstructionOrRestorationDate
Indicates the date on which an entity was reconstructed or restored after damage, alteration, or deterioration.
-
C.
constructionResumptionYear
Indicates the year in which a previously halted or paused construction activity was resumed.
-
D.
rebuiltOrModifiedDuring
Indicates that an existing entity was reconstructed, renovated, or otherwise significantly altered during a specified time period or event.
-
E.
hasMajorReconstruction
Indicates that an entity has undergone a significant or extensive reconstruction or renovation.
- F. None of above.
Provenance (3 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_69e75a87c9b88190ab60731902a99750 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 21, 2026, 12:18 p.m.