Triple
T2919683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kungsholmen |
E78688
|
entity |
| Predicate | connectedByBridgeTo |
P845
|
FINISHED |
| Object | Lilla Essingen |
E310297
|
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: Lilla Essingen | Statement: [Kungsholmen, connectedByBridgeTo, Lilla Essingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lilla Essingen Context triple: [Kungsholmen, connectedByBridgeTo, Lilla Essingen]
-
A.
Lilla Essingen
chosen
Lilla Essingen is a small island and residential district in central Stockholm, known for its waterfront apartments and proximity to the city center.
-
B.
Stora Essingen
Stora Essingen is an island and residential district in central Stockholm, Sweden, known for its waterfront housing and connections via the Essingeleden motorway.
-
C.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
-
D.
Mönsterås
Mönsterås is a small coastal town and municipality in Kalmar County, southeastern Sweden, known for its Baltic Sea shoreline and traditional Swedish countryside.
-
E.
Bollnäs
Bollnäs is a small Swedish town known for its scenic lakeside setting, traditional wooden architecture, and strong bandy sports culture.
- 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_69ad8b0c2ad081909ff87050ae542bb9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad96a53f8c8190b188d549f1161e84 |
completed | March 8, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc632afc819098021312c748346b |
completed | March 11, 2026, 5:23 a.m. |
Created at: March 8, 2026, 2:54 p.m.