Triple
T2987036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landskrona BoIS |
E80649
|
entity |
| Predicate | homeCity |
P263
|
FINISHED |
| Object | Landskrona |
E173673
|
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: Landskrona | Statement: [Landskrona BoIS, homeCity, Landskrona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Landskrona Context triple: [Landskrona BoIS, homeCity, Landskrona]
-
A.
Landskrona
chosen
Landskrona is a coastal town in southern Sweden known for its historic fortifications, harbor, and role in regional conflicts between Denmark and Sweden.
-
B.
Landskrona IP
Landskrona IP is a football stadium in Landskrona, Sweden, primarily known as the home ground of the local club Landskrona BoIS.
-
C.
Landskrona BoIS
Landskrona BoIS is a Swedish football club based in Landskrona, known for competing in the country’s professional league system and developing both domestic and international players.
-
D.
Norrköping
Norrköping is a historic industrial city in eastern Sweden known for its preserved textile mills, waterways, and cultural institutions.
-
E.
Nyköping
Nyköping is a historic coastal town in southeastern Sweden known for its medieval castle, harbor, and role as a regional administrative and cultural center.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99c88f608190bf734e0b744bf3d1 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1de999ff88190824ecdc164496d37 |
completed | March 11, 2026, 9:28 p.m. |
Created at: March 8, 2026, 2:59 p.m.