Triple
T28590879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Buddha of Kamakura |
E723638
|
entity |
| Predicate | underwentRepair |
P28319
|
FINISHED |
| Object | earthquake-resistant reinforcement in the 20th century |
—
|
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: earthquake-resistant reinforcement in the 20th century | Statement: [Great Buddha of Kamakura, underwentRepair, earthquake-resistant reinforcement in the 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underwentRepair Context triple: [Great Buddha of Kamakura, underwentRepair, earthquake-resistant reinforcement in the 20th century]
-
A.
repairedIn
Indicates that an item or object underwent repair within a specified location or during a particular time period.
-
B.
underwent
Indicates that an entity experienced or was subjected to a process, event, or change, typically as the patient of an action.
-
C.
repairsCompleted
Indicates that a previously initiated repair action or process has been fully carried out and successfully finished.
-
D.
hasReconstructionWork
chosen
Indicates that an entity is undergoing, has undergone, or is associated with reconstruction or restoration work.
-
E.
repairs
Indicates that one entity fixes, restores, or maintains another entity to a proper or functional condition.
- 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 28, 2026, 4:20 a.m.