Triple
T26008958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruo River |
E646840
|
entity |
| Predicate | notableFloodingAffects |
P50010
|
FINISHED |
| Object | Chiromo |
—
|
NE NERFINISHED |
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: Chiromo | Statement: [Ruo River, notableFloodingAffects, Chiromo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableFloodingAffects Context triple: [Ruo River, notableFloodingAffects, Chiromo]
-
A.
formedByFlooding
Indicates that something came into existence or was created as a result of flooding.
-
B.
floodConsequence
chosen
Indicates the resulting effects, outcomes, or impacts that occur as a consequence of a flood event.
-
C.
notableFloodEvents
Indicates that there are significant or historically important flood occurrences associated with the given entity.
-
D.
notableCommunityAffected
Indicates that a particular community of notable significance is directly impacted or influenced by the subject.
-
E.
floodEnhancedBy
Indicates that the occurrence, intensity, or impact of a flood is increased or made more severe by the associated factor or condition.
- 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_69e77e89d5848190b54352cdb74f6029 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fe066d62b48190867df334039be786 |
completed | May 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69fe03afde3c8190a5b9b0778d19eb1a |
completed | May 8, 2026, 3:39 p.m. |
Created at: April 22, 2026, 9:01 a.m.