Triple
T12497397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oldambtmeer |
E298727
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Midwolda |
E242575
|
NE FINISHED |
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: Midwolda | Statement: [Oldambtmeer, locatedNear, Midwolda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midwolda Context triple: [Oldambtmeer, locatedNear, Midwolda]
-
A.
Midwolda
chosen
Midwolda is a village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
-
B.
Flerzheim
Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
C.
Kornhain
Kornhain is a village-level subdivision of the town of Wurzen in the German state of Saxony.
-
D.
Andlau
Andlau is a picturesque wine-growing village in northeastern France’s Alsace region, renowned for its historic abbey and surrounding vineyards.
-
E.
Neuhof
Neuhof is a district (Ortsteil) of the town of Taunusstein in the Rheingau-Taunus-Kreis region of Hesse, Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64baf73188190af29b57f8ae9253f |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.