Triple
T16278961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renkum |
E395212
|
entity |
| Predicate | hasMunicipalSeat |
P1474
|
FINISHED |
| Object | Oosterbeek |
E834079
|
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: Oosterbeek | Statement: [Renkum, hasMunicipalSeat, Oosterbeek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oosterbeek Context triple: [Renkum, hasMunicipalSeat, Oosterbeek]
-
A.
Oosterbeek, Netherlands
chosen
Oosterbeek, Netherlands is a village in the province of Gelderland best known internationally as the site of the first Bilderberg Group conference and historically for its role in World War II’s Battle of Arnhem.
-
B.
Geldrop-Mierlo
Geldrop-Mierlo is a municipality in the province of North Brabant in the southern Netherlands, known for its residential communities and proximity to the city of Eindhoven.
-
C.
Geuzenveld
Geuzenveld is a residential neighborhood in the western part of Amsterdam, developed as part of the city’s mid-20th-century urban expansion.
-
D.
Koningslaagte
Koningslaagte is a small settlement in the municipality of Eemsmond in the province of Groningen in the northern Netherlands.
-
E.
Diksmuide
Diksmuide is a historic town in western Belgium known for its World War I battlefields and memorials, particularly the Yser Tower.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24610908c8190921e507dcb4d8250 |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017c48e5c8190a387a4158362417a |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.