Triple
T17053137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hellendoorn |
E413750
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Ommen |
E547511
|
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: Ommen | Statement: [Hellendoorn, borders, Ommen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ommen Context triple: [Hellendoorn, borders, Ommen]
-
A.
Ommen
chosen
Ommen is a small historic town and municipality in the Dutch province of Overijssel, known for its scenic river landscapes and tourism.
-
B.
Olman
Olman is a surname most notably associated with Abe Olman, an American songwriter and music publisher active in the early 20th century.
-
C.
Orma
Orma is a major dialect of the Oromo language spoken primarily by the Orma people of Kenya.
-
D.
Hannut
Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
-
E.
Hemulen
Hemulen is a character from Tove Jansson’s Moomin series, typically portrayed as a tall, earnest, and somewhat pedantic creature obsessed with hobbies like stamp collecting and botany.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa491008190ad013ee37532aa51 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012343eca0819086a07511c5d22878 |
completed | May 11, 2026, 12:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.