Triple
T5106628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haga Palace |
E115110
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Brunnsviken |
E116796
|
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: Brunnsviken | Statement: [Haga Palace, locatedNear, Brunnsviken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brunnsviken Context triple: [Haga Palace, locatedNear, Brunnsviken]
-
A.
Brunnsviken
chosen
Brunnsviken is a scenic bay in the Stockholm area of Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
-
B.
Brunnsviken Lake
Brunnsviken Lake is a scenic urban lake in northern Stockholm, Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
-
C.
Munksjön
Munksjön is a small urban lake situated in central Jönköping in southern Sweden, known for its promenades, recreational areas, and proximity to the city’s downtown.
-
D.
Bornsjön
Bornsjön is a lake in Stockholm County, Sweden, known as a protected freshwater reservoir and nature area near Salem.
-
E.
Köpingsvik
Köpingsvik is a coastal village and popular holiday resort on the Swedish island of Öland, known for its sandy beaches and historic church.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75a7c6748190b02b7c2b617c830f |
completed | March 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfc94eb08190bd6ed138acca3171 |
completed | March 21, 2026, 5:05 p.m. |
Created at: March 20, 2026, 1:41 p.m.