Triple
T23225013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2013 North India floods |
E580989
|
entity |
| Predicate | rescueOperation |
P151421
|
FINISHED |
| Object | one of the largest rescue operations in India’s history |
—
|
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: one of the largest rescue operations in India’s history | Statement: [2013 North India floods, rescueOperation, one of the largest rescue operations in India’s history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rescueOperation Context triple: [2013 North India floods, rescueOperation, one of the largest rescue operations in India’s history]
-
A.
rescueOperationName
Indicates the designated name or title assigned to a specific rescue operation.
-
B.
typeOfRescue
Indicates the specific method or category of rescue operation performed in a rescue event.
-
C.
involvedRescue
Indicates that an entity participated in or contributed to a rescue operation or act of saving someone or something from danger.
-
D.
seeksToRescue
Indicates an entity’s intention or effort to save or free another entity from danger, harm, or an undesirable situation.
-
E.
triggeredSearchAndRescue
Indicates that an entity initiated or caused the start of a search and rescue operation for another entity or situation.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f1922d30b08190a3c54bab58f5c8e7 |
completed | April 29, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:08 p.m.