Triple
T36679753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2021 European floods |
E905644
|
entity |
| Predicate | damIncident |
P174585
|
FINISHED |
| Object | Steinbach Dam near Euskirchen |
—
|
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: Steinbach Dam near Euskirchen | Statement: [2021 European floods, damIncident, Steinbach Dam near Euskirchen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: damIncident Context triple: [2021 European floods, damIncident, Steinbach Dam near Euskirchen]
-
A.
damInvolved
chosen
Indicates that a dam plays a role in, or is affected by, a particular event, process, or relationship.
-
B.
incidentWith
Indicates that one entity is involved in, affected by, or associated with a particular incident or event together with another entity.
-
C.
incidentDescription
Indicates a textual explanation or narrative detailing the circumstances, events, and relevant facts associated with a particular incident.
-
D.
incidentName
Indicates the specific name or label assigned to an incident within a system or context.
-
E.
damageOccurred
Indicates that some form of harm, loss, or deterioration has taken place as a result of an event or action.
- 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_69f76e7011dc819082b324f18b756a1b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c7be0be88190a480393a2d1ee5bf |
completed | May 3, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:12 p.m.