Triple
T25719425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Machhu River |
E644947
|
entity |
| Predicate | yearOfMajorDisaster |
P124430
|
FINISHED |
| Object | 1979 |
—
|
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: 1979 | Statement: [Machhu River, yearOfMajorDisaster, 1979]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfMajorDisaster Context triple: [Machhu River, yearOfMajorDisaster, 1979]
-
A.
majorCrisisYear
Indicates the year in which a major crisis occurred or was most prominently manifested.
-
B.
yearOfMajorFlooding
chosen
Indicates the specific year in which a major flooding event occurred for the associated entity.
-
C.
disasterHistory
Indicates that there is a record of past disasters or catastrophic events associated with the entity.
-
D.
numberOfMajorShocks
Indicates the count of significant or major shock events associated with an entity or situation.
-
E.
notableDisasterType
Indicates the specific kind or category of disaster for which something (such as a place, event, or entity) is notable or best known.
- 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_69e77e8476fc8190bd5e9d05b89fad0a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 21, 2026, 9:53 p.m.