Triple
T14774043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midden-Groningen |
E347206
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Steendam |
E854457
|
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: Steendam | Statement: [Midden-Groningen, hasSettlement, Steendam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steendam Context triple: [Midden-Groningen, hasSettlement, Steendam]
-
A.
Steendam
chosen
Steendam is a small village in the province of Groningen in the Netherlands, known for its rural setting near the Schildmeer lake.
-
B.
Steenbergen
Steenbergen is a municipality and town in the Dutch province of North Brabant, known for its rural landscape and proximity to several major waterways.
-
C.
Steenbergen
Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
-
D.
Doorn Van Steyn
Doorn Van Steyn was a British ice skater and actress best known as the first wife of future James Bond star Roger Moore.
-
E.
Muntendam
Muntendam is a village in the Dutch province of Groningen, now administratively part of the municipality of Midden-Groningen.
- 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_69fe24b41df881908119e183b8299c48 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:31 a.m.