Triple
T4821348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Västergötland |
E107715
|
entity |
| Predicate | historicalCapital |
P2536
|
FINISHED |
| Object | Skara |
E472576
|
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: Skara | Statement: [Västergötland, historicalCapital, Skara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skara Context triple: [Västergötland, historicalCapital, Skara]
-
A.
Skara
chosen
Skara is a historic Swedish town known for its medieval cathedral and status as one of the country's oldest urban settlements.
-
B.
Dun
Dun is a small settlement in Angus, Scotland, known for its historic country house and estate, House of Dun.
-
C.
Krakhuna
Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
-
D.
Nitmiluk
Nitmiluk is the Jawoyn Aboriginal name for the spectacular gorge and river country in Australia’s Northern Territory that forms the heart of Nitmiluk National Park.
-
E.
Mauregard
Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c99b46c8190b6fbcf9f98b9e993 |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cb34004819086809b4a7071f4a5 |
completed | March 21, 2026, 8:54 a.m. |
Created at: March 20, 2026, 1:24 p.m.