Triple
T20317910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mensdorf |
E492128
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Olingen |
—
|
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: Olingen | Statement: [Mensdorf, locatedNear, Olingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olingen Context triple: [Mensdorf, locatedNear, Olingen]
-
A.
Olingen
chosen
Olingen is a small village in eastern Luxembourg that forms part of the commune of Betzdorf.
-
B.
Oudelande
Oudelande is a small village in the Dutch province of Zeeland, known for its rural character and traditional polder landscape.
-
C.
Teylingen
Teylingen is a municipality in the Dutch province of South Holland, known for its historic estates and proximity to the bulb-growing region.
-
D.
Uithoorn
Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
-
E.
Groesbeek
Groesbeek is a village in the Dutch province of Gelderland, known for its hilly landscape, World War II history, and wine production.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67788ca3c8190a3496fd54a5870d6 |
completed | April 20, 2026, 6:59 p.m. |
Created at: April 16, 2026, 11:20 a.m.