Triple
T8677430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Österbottens landskap |
E205950
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Larsmo |
E208453
|
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: Larsmo | Statement: [Österbottens landskap, containsMunicipality, Larsmo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larsmo Context triple: [Österbottens landskap, containsMunicipality, Larsmo]
-
A.
Larsmo
chosen
Larsmo is a coastal municipality in western Finland known for its archipelago and Swedish-speaking majority population.
-
B.
Lofsrud
Lofsrud is a residential area and neighborhood within the Søndre Nordstrand borough of Oslo, Norway.
-
C.
Lönnbohm
Lönnbohm is the original family name of the renowned Finnish poet and journalist Eino Leino.
-
D.
Loarki
Loarki is a lesser-known dialect of the Rajasthani language spoken by specific communities in the northwestern Indian subcontinent.
-
E.
Alvik
Alvik is a district in western Stockholm known as a key public transport hub, particularly for its tram and metro connections.
- 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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc49f7c2c081909ec93413ceefbb1c |
completed | March 31, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3a008d48190bd0e58f615eda148 |
completed | April 2, 2026, 10:54 p.m. |
Created at: March 30, 2026, 6:32 p.m.