Triple
T18258693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tretten Church |
E437287
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Tretten |
—
|
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: Tretten | Statement: [Tretten Church, locatedIn, Tretten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tretten Context triple: [Tretten Church, locatedIn, Tretten]
-
A.
Tretten
chosen
Tretten is a village in Innlandet county, Norway, known as the main settlement in the Øyer municipality along the Gudbrandsdalslågen river.
-
B.
Treiten
Treiten is a small municipality in the canton of Bern in Switzerland, known for its rural character and agricultural surroundings.
-
C.
Tretes
Tretes is a cool highland resort town in East Java, Indonesia, known for its mountain scenery, villas, and as a gateway to nearby peaks like Mount Arjuno.
-
D.
Pjätteryd
Pjätteryd is a small locality in southern Sweden, situated within Älmhult Municipality in Kronoberg County.
-
E.
Trenyce
Trenyce is an American singer and actress best known for gaining national recognition as a standout finalist on the second season of American Idol.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd8879e88190893f8da7c3529496 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:34 a.m.