Triple
T14918297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kröller-Müller Museum |
E371440
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Otterlo |
E416819
|
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: Otterlo | Statement: [Kröller-Müller Museum, locatedIn, Otterlo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otterlo Context triple: [Kröller-Müller Museum, locatedIn, Otterlo]
-
A.
Otterlo
chosen
Otterlo is a Dutch village in the province of Gelderland, known as a gateway to De Hoge Veluwe National Park and the Kröller-Müller Museum.
-
B.
Aalten
Aalten is a municipality and town in the province of Gelderland in the eastern Netherlands, near the German border.
-
C.
Waddinxveen
Waddinxveen is a town and municipality in the western Netherlands known for its location along the Gouwe River and its role in regional industry and logistics.
-
D.
Oranjewoud
Oranjewoud is a historic estate and village in the Dutch province of Friesland, long associated with the royal House of Orange-Nassau.
-
E.
Uithoorn
Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded62f76bc81909ebc8899096cd1a0 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72bf2120819099df39bdc1da691b |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:33 a.m.