Triple
T20250477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akkerhaugen |
E498537
|
entity |
| Predicate | hasNearbyVillage |
P4647
|
FINISHED |
| Object | Gvarv |
—
|
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: Gvarv | Statement: [Akkerhaugen, hasNearbyVillage, Gvarv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gvarv Context triple: [Akkerhaugen, hasNearbyVillage, Gvarv]
-
A.
Gvarv
chosen
Gvarv is a small village in Telemark, Norway, known for its fruit farming and scenic location near the lake Norsjø.
-
B.
Svaliava
Svaliava is a small town in western Ukraine known for its scenic Carpathian surroundings and mineral springs.
-
C.
Övdalian
Övdalian is a North Germanic language variety spoken in the Älvdalen region of Sweden, noted for preserving many archaic features lost in standard Swedish.
-
D.
Givlaari
Givlaari is an RNA interference-based therapy used to treat acute hepatic porphyria by reducing the production of toxic heme intermediates in the liver.
-
E.
Overgård
Overgård is the stranded pilot and lone survivor in the Arctic survival film "Arctic," portrayed by Mads Mikkelsen as he battles extreme conditions to stay alive.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a79a208190a5a7c0f6515bc393 |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:41 p.m.