Triple
T14774030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midden-Groningen |
E347206
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Noordbroek |
E850279
|
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: Noordbroek | Statement: [Midden-Groningen, hasSettlement, Noordbroek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noordbroek Context triple: [Midden-Groningen, hasSettlement, Noordbroek]
-
A.
Noordbroek
chosen
Noordbroek is a village in the Dutch province of Groningen, known for its historic church and rural character.
-
B.
Westerbroek
Westerbroek is a village in the Dutch province of Groningen, known for its rural character and surrounding peat and nature areas.
-
C.
Bredevoort
Bredevoort is a small historic town in the Dutch province of Gelderland, known for its well-preserved medieval character and its reputation as a national "book town."
-
D.
Zonnemaire
Zonnemaire is a small village in the Dutch province of Zeeland, notable as the birthplace of Nobel Prize–winning physicist Pieter Zeeman.
-
E.
Zuidbroek
Zuidbroek is a village in the province of Groningen in the northeastern Netherlands, known historically as a small canal-side settlement in a largely rural landscape.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81485e08190be35baafcf22b6f2 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cfd26fc81909fba39c8705437ed |
completed | May 8, 2026, 4:19 p.m. |
Created at: April 10, 2026, 1:31 a.m.