Triple
T18576930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sven Lindqvist |
E454009
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Kina nu |
—
|
NE NERFINISHED |
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: Kina nu | Statement: [Sven Lindqvist, notableWork, Kina nu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kina nu Context triple: [Sven Lindqvist, notableWork, Kina nu]
-
A.
Chiene
Chiene is a river flowing through the municipality of Reichenbach im Kandertal in the Bernese Oberland region of Switzerland.
-
B.
kina
chosen
Kina is the official currency of Papua New Guinea, used for everyday transactions and financial activities throughout the country.
-
C.
Chini
Chini is a town that is twinned with Günzburg, Germany, as part of an international municipal partnership.
-
D.
Ó hAinchín
Ó hAinchín is an Irish Gaelic surname from which the anglicized family name Hannon is derived.
-
E.
Şinasi
Şinasi is a Turkish surname most notably associated with İbrahim Şinasi, a pioneering 19th-century Ottoman-Turkish journalist, poet, and intellectual.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543cc94f081909b76c3d488ed5637 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 11:43 a.m.