Triple
T5807959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salland |
E128791
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Hellendoorn |
E413750
|
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: Hellendoorn | Statement: [Salland, contains, Hellendoorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hellendoorn Context triple: [Salland, contains, Hellendoorn]
-
A.
Hellendoorn
chosen
Hellendoorn is a municipality in the Dutch province of Overijssel, known for its scenic landscapes, including the Sallandse Heuvelrug National Park, and its historic villages.
-
B.
Groene Hart
Groene Hart is a largely rural, green area in the western Netherlands, situated between major cities like Amsterdam, Rotterdam, The Hague, and Utrecht, known for its open landscapes, peat meadows, and nature conservation.
-
C.
Akkerman
Akkerman, historically known as Cetatea Albă and now called Bilhorod-Dnistrovskyi, is an ancient fortress town in southwestern Ukraine near the Black Sea.
-
D.
Enkeldoorn
Enkeldoorn is the former colonial-era name of the Zimbabwean town now known as Chivhu.
-
E.
Hackenholt
Hackenholt is a German surname most notably associated with Lorenz Hackenholt, an SS officer involved in the Nazi extermination camps during World War II.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b17417081908779741b9bfbb720 |
completed | March 22, 2026, 5:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0983ded9c8190b37372627c1e3a50 |
completed | March 23, 2026, 1:32 a.m. |
Created at: March 22, 2026, 3:52 p.m.