Triple
T17174331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harskamp |
E416818
|
entity |
| Predicate | nearbyVillage |
P4647
|
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: [Harskamp, nearbyVillage, Otterlo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otterlo Context triple: [Harskamp, nearbyVillage, 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.
Nunspeet
Nunspeet is a Dutch town and municipality on the Veluwe known for its forests, heathlands, and role as a popular nature and holiday destination.
-
C.
Aalten
Aalten is a municipality and town in the province of Gelderland in the eastern Netherlands, near the German border.
-
D.
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.
-
E.
Oranjewoud
Oranjewoud is a historic estate and village in the Dutch province of Friesland, long associated with the royal House of Orange-Nassau.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0c329081909f118bd4b7be8653 |
completed | April 18, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148435f6081909bfc6cc1ef59d971 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.