Triple
T13483098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tana River |
E318420
|
entity |
| Predicate | hasFloodingRisk |
P12640
|
FINISHED |
| Object | seasonal flooding |
—
|
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: seasonal flooding | Statement: [Tana River, hasFloodingRisk, seasonal flooding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFloodingRisk Context triple: [Tana River, hasFloodingRisk, seasonal flooding]
-
A.
hasFloodRisk
chosen
Indicates that an entity is exposed to a potential or expected risk of flooding under certain conditions.
-
B.
hasFloodRiskRelevance
Indicates that something is pertinent to, affects, or is used in assessing the risk or likelihood of flooding.
-
C.
hasFloodHistory
Indicates that the subject has experienced one or more flood events in the past.
-
D.
hasFloodProtectionProject
Indicates that a flood protection project exists or is implemented for the referenced entity.
-
E.
hasFloodProtectionInfrastructure
Indicates that there exists built or implemented infrastructure designed to protect against or mitigate flooding for the referenced entity.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3868ec8190a6a1803018d4f2d8 |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.