Triple
T20262178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warche River |
E498866
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Waimes |
—
|
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: Waimes | Statement: [Warche River, nearbySettlement, Waimes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waimes Context triple: [Warche River, nearbySettlement, Waimes]
-
A.
Waimes
chosen
Waimes is a municipality in the predominantly French-speaking region of Wallonia in eastern Belgium, known for its rural landscapes and proximity to the High Fens nature reserve.
-
B.
Jamael
Jamael is the given first name of former NFL cornerback Ronde Barber, a longtime standout for the Tampa Bay Buccaneers.
-
C.
Wille
Wille is the given name of Finnish politician Wille Rydman, known for his roles in national politics.
-
D.
Emerick
Emerick is the surname of Geoff Emerick, the renowned British audio engineer best known for his innovative work on several of The Beatles’ most iconic albums.
-
E.
Rhume
The Rhume is a river in Lower Saxony, Germany, known as a tributary of the Leine and for its karstic spring source near the Harz mountains.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674cba2748190a886ecd8316dc518 |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:41 p.m.