Triple
T19575000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skien Municipality |
E489831
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Klyve |
—
|
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: Klyve | Statement: [Skien Municipality, contains, Klyve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klyve Context triple: [Skien Municipality, contains, Klyve]
-
A.
Kleive
chosen
Kleive is a village in Møre og Romsdal county, Norway, situated within the coastal region administered by Molde Municipality.
-
B.
Keliko
Keliko is a Central Sudanic language spoken by the Keliko people primarily in South Sudan and the Democratic Republic of the Congo.
-
C.
Calah
Calah is an ancient Assyrian city, better known today as Nimrud, which served as a major political and cultural center of the Neo-Assyrian Empire in northern Mesopotamia.
-
D.
Kishar
Kishar is a primordial Mesopotamian earth goddess associated with the horizon and paired with the sky god Anshar in ancient creation myths.
-
E.
Krakhuna
Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64023fe148190900c6887896c8ea0 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.