Triple
T16812000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vestre Toten |
E408636
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Søndre Land |
E432628
|
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: Søndre Land | Statement: [Vestre Toten, locatedNear, Søndre Land]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Søndre Land Context triple: [Vestre Toten, locatedNear, Søndre Land]
-
A.
Søndre Land
chosen
Søndre Land is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and traditional agricultural landscape.
-
B.
Wilkes Land
Wilkes Land is a vast, largely ice-covered region of Antarctica facing the Indian Ocean, known for its extensive ice sheet and underlying geological structures.
-
C.
Nordenskiöld Land
Nordenskiöld Land is a region on the island of Spitsbergen in the Svalbard archipelago of Norway, encompassing the area around the main settlement of Longyearbyen.
-
D.
Enderby Land
Enderby Land is a remote, ice-covered coastal region of Antarctica along the Southern Ocean, known for its harsh climate and largely unexplored terrain.
-
E.
Queen Maud Land
Queen Maud Land is a region of Antarctica claimed by Norway, known for its vast ice-covered terrain and numerous research stations.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2d0793c81909d938ac174a6e63a |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dbfb781881908f4d56f523e78f7a |
completed | May 10, 2026, 7:26 p.m. |
Created at: April 10, 2026, 5:23 a.m.