Triple
T31248365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nile inundation system |
E796748
|
entity |
| Predicate | riskIfTooLow |
P171478
|
FINISHED |
| Object | famine |
—
|
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: famine | Statement: [Nile inundation system, riskIfTooLow, famine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riskIfTooLow Context triple: [Nile inundation system, riskIfTooLow, famine]
-
A.
riskIfFailure
Indicates that one entity faces potential negative consequences or harm if another entity fails or an attempted action is unsuccessful.
-
B.
riskIfIgnored
Indicates that a potential negative consequence or danger will likely occur if the associated condition, issue, or action is not addressed or is disregarded.
-
C.
riskLevel
Indicates the degree of potential harm, loss, or adverse outcome associated with a particular situation, action, or entity.
-
D.
riskReductionFor
Indicates a relationship where one entity decreases or mitigates the level of risk associated with another entity or situation.
-
E.
riskIfNoncompliance
Indicates that a risk or negative consequence will occur if the specified rules, requirements, or obligations are not complied with.
- 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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 29, 2026, 9:11 p.m.