Triple
T19575246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Värmdö |
E489837
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Gustavsberg |
—
|
NE NERFINISHED |
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: Gustavsberg | Statement: [Värmdö, administrativeCenter, Gustavsberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gustavsberg Context triple: [Värmdö, administrativeCenter, Gustavsberg]
-
A.
Gustavsberg
chosen
Gustavsberg is a locality in Sweden best known for its historic porcelain factory and role as a suburban community in the Stockholm archipelago.
-
B.
Vårberg
Vårberg is a residential district in southern Stockholm, Sweden, known for its suburban housing areas and proximity to Lake Mälaren.
-
C.
Gundeberga
Gundeberga was a 7th-century Lombard queen consort of Italy, known as the wife of King Rothari.
-
D.
Mariaberget
Mariaberget is a historic, picturesque area on the western side of Södermalm in central Stockholm, known for its well-preserved old buildings and panoramic views over the city and Lake Mälaren.
-
E.
Flemingsberg
Flemingsberg is a district in the southern Stockholm urban area known for its major university campus, hospital, and commuter rail hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64023fe148190900c6887896c8ea0 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.