Triple
T34343212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seine-Normandie river basin district |
E881354
|
entity |
| Predicate | drainsCity |
P115513
|
FINISHED |
| Object | Paris |
—
|
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: Paris | Statement: [Seine-Normandie river basin district, drainsCity, Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drainsCity Context triple: [Seine-Normandie river basin district, drainsCity, Paris]
-
A.
drainsNear
Indicates that one entity, typically a drainage feature or outlet, is located in close proximity to another relevant object or area.
-
B.
drainsAreaOf
chosen
Indicates that one entity serves as a drainage outlet or basin for another entity, carrying away its surface or groundwater.
-
C.
drainsPartOf
Indicates that one entity carries off or removes liquid or fluid from a specific part or portion of another entity.
-
D.
drainsInto
Indicates that one entity serves as a source or conduit whose contents or flow are directed into another entity.
-
E.
drainedIn
Indicates that a liquid, resource, or substance has flowed out from one entity and been discharged or emptied into another entity or location.
- 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_69f349bc55e881908c8e338ef76b0043 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:58 a.m.