Triple
T20302751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schoonaarde |
E505523
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Wichelen |
—
|
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: Wichelen | Statement: [Schoonaarde, locatedNear, Wichelen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wichelen Context triple: [Schoonaarde, locatedNear, Wichelen]
-
A.
Wichelen
chosen
Wichelen is a municipality in East Flanders, Belgium, situated along the River Scheldt and known for its rural character and natural floodplain landscapes.
-
B.
Schussen
The Schussen is a river in the German state of Baden-Württemberg that flows through the Upper Swabia region before emptying into Lake Constance.
-
C.
Cartwheel
Cartwheel was a major World War II Allied military campaign in the Pacific aimed at isolating and neutralizing the Japanese stronghold of Rabaul through a series of coordinated offensives.
-
D.
Rütschelen
Rütschelen is a small municipality in the canton of Bern in Switzerland.
-
E.
Shimmy
Shimmy is a software tool developed under the Farama Foundation ecosystem, likely related to reinforcement learning or simulation environments.
- 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6773e0864819095d272659cd2074d |
completed | April 20, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:17 a.m.