Triple
T10220902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oldambtmeer |
E242574
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Blauwestad project |
E242582
|
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: Blauwestad project | Statement: [Oldambtmeer, partOf, Blauwestad project]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blauwestad project Context triple: [Oldambtmeer, partOf, Blauwestad project]
-
A.
Blauwestad residential and recreational area
chosen
Blauwestad residential and recreational area is a planned lakeside living and leisure development in the Oldambt region of the Netherlands, featuring waterfront housing, nature areas, and recreational facilities.
-
B.
Bloemfontein waterworks
Bloemfontein waterworks was a strategically vital water supply installation for the city of Bloemfontein during the Second Boer War.
-
C.
Bothasig
Bothasig is a residential suburb in the northern part of Cape Town, South Africa.
-
D.
Sasolburg
Sasolburg is an industrial town in South Africa’s Free State province, known primarily for its large petrochemical complex and proximity to the Vaal River.
-
E.
Lichtstad
Lichtstad is the Dutch nickname for the city of Eindhoven, reflecting its historic association with the lighting industry and companies like Philips.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa72b258819097d8d50a714e19dc |
completed | April 6, 2026, 12:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a82c98fc8190929b7b56f9a6e60d |
completed | April 8, 2026, 7:10 p.m. |
Created at: April 6, 2026, 11:09 a.m.