Triple
T6075857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drents-Friese Wold National Park |
E135397
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Doldersum |
E557936
|
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: Doldersum | Statement: [Drents-Friese Wold National Park, locatedNear, Doldersum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doldersum Context triple: [Drents-Friese Wold National Park, locatedNear, Doldersum]
-
A.
Doldersum
chosen
Doldersum is a small village in the Dutch province of Drenthe, known for its rural landscape and proximity to nature reserves.
-
B.
Loppersum
Loppersum is a village and former municipality in the province of Groningen in the Netherlands, known for its historic churches and its location in an area affected by gas-extraction-induced earthquakes.
-
C.
Borssum
Borssum is a district of the seaport city of Emden in Lower Saxony, Germany, known primarily as a residential area with local amenities.
-
D.
Biessum
Biessum is a small village in the province of Groningen in the Netherlands, now part of the municipality of Eemsdelta.
-
E.
Leusden
Leusden is a Dutch town and municipality in the central Netherlands, known for its green residential character and proximity to the city of Amersfoort.
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0575ec63081908a868a41855acf73 |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d43f7908190845c2337cd243a3c |
completed | March 23, 2026, 11 a.m. |
Created at: March 22, 2026, 4:11 p.m.