Triple
T12566909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Westphalia |
E295497
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Reken |
E604603
|
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: Reken | Statement: [Province of Westphalia, containsSettlement, Reken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reken Context triple: [Province of Westphalia, containsSettlement, Reken]
-
A.
Reken
chosen
Reken is a municipality in the western German state of North Rhine-Westphalia, known for its rural character and location within the Münsterland region.
-
B.
Randenbroek
Randenbroek is a historic estate near Amersfoort in the Netherlands, known as the place where the Dutch Golden Age architect and painter Jacob van Campen spent his final years.
-
C.
Rijmen
Rijmen is a Dutch-language surname most notably borne by Belgian cryptographer Vincent Rijmen, co-designer of the AES encryption algorithm.
-
D.
Rijen
Rijen is a town in the Dutch province of North Brabant that serves as the main population center of the municipality of Gilze en Rijen.
-
E.
Blokzijl
Blokzijl is a historic former trading town and harbor in the Dutch province of Overijssel, known for its picturesque canals and well-preserved old center.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954a325948190994bcfc9d571a3a8 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655914f908190afbebbec3cb57e73 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 11:49 p.m.