Triple
T12663674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dombås |
E302488
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Otta |
E331809
|
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: Otta | Statement: [Dombås, near, Otta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otta Context triple: [Dombås, near, Otta]
-
A.
Otta
chosen
Otta is a small Norwegian town known as a regional transport hub and gateway to popular mountain and national park areas.
-
B.
Ott
Ott is a surname most famously associated with Mel Ott, a Hall of Fame Major League Baseball slugger for the New York Giants.
-
C.
Ota
Ota is a historically significant Awori town in southwestern Nigeria that has grown into a major industrial and educational hub.
-
D.
Otten
Otten is a surname of likely Dutch or German origin borne by various individuals and families.
-
E.
Otse
Otse is a village located in Botswana’s South-East District, known for its traditional culture and proximity to the capital, Gaborone.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617c5b888190b37d4ede139bb49e |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688a19148190b8d252d3706d2b05 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:19 p.m.