Triple
T4871305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kedarnath Temple |
E109089
|
entity |
| Predicate | reconstructionAndRestoration |
P22616
|
FINISHED |
| Object | undertaken after 2013 floods |
—
|
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: undertaken after 2013 floods | Statement: [Kedarnath Temple, reconstructionAndRestoration, undertaken after 2013 floods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reconstructionAndRestoration Context triple: [Kedarnath Temple, reconstructionAndRestoration, undertaken after 2013 floods]
-
A.
restorationProject
Indicates a project whose purpose is to repair, renew, or return something to a previous or improved condition.
-
B.
reconstructionOrRestorationDate
Indicates the date on which an entity was reconstructed or restored after damage, alteration, or deterioration.
-
C.
reconstructionFor
Indicates that one entity serves as a reconstruction, restoration, or rebuilt version of another entity.
-
D.
reconstructedIn
Indicates that something has been rebuilt, restored, or re-created within a particular context, location, or medium.
-
E.
restorationEvent
chosen
Indicates an event in which something previously altered, damaged, or degraded is returned to a former or improved state.
- 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c28e56081908ee411ac94c3769e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:27 p.m.