Triple
T4790512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orkland |
E106588
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Meldal |
E499195
|
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: Meldal | Statement: [Orkland, hasSettlement, Meldal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meldal Context triple: [Orkland, hasSettlement, Meldal]
-
A.
Meldal
chosen
Meldal was a former municipality in Trøndelag county, Norway, known for its rural communities and historical mining activities before being merged into Orkland.
-
B.
Malangen
Malangen is a prominent fjord in northern Norway known for its scenic coastal landscapes and proximity to the city of Tromsø in Troms county.
-
C.
Molndal
Mölndal is a Swedish city in Västra Götaland County, just south of Gothenburg, known for its industrial heritage and proximity to major research and technology hubs.
-
D.
Sokndal
Sokndal is a coastal municipality in Rogaland county in southwestern Norway, known for its rugged coastline, historic settlements, and distinctive geological landscapes.
-
E.
Sandefjord
Sandefjord is a coastal town and municipality in southern Norway known for its maritime heritage, whaling history, and popular seaside attractions.
- 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_69bd43f591c881909e5a532388b0f3f3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65dce6888190a0b1bdf416fb62b9 |
completed | March 20, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee059e7088190a04124e5918a3c42 |
completed | March 21, 2026, 6:15 p.m. |
Created at: March 20, 2026, 1:22 p.m.