Triple
T15762734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Granvinfjorden |
E382137
|
entity |
| Predicate | hasNameElement |
P3097
|
FINISHED |
| Object | Granvin |
E1149928
|
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: Granvin | Statement: [Granvinfjorden, hasNameElement, Granvin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Granvin Context triple: [Granvinfjorden, hasNameElement, Granvin]
-
A.
Granvin
chosen
Granvin is a small village and former municipality in Vestland county, Norway, known for its scenic fjord landscape and traditional rural character within the Hardanger region.
-
B.
Skaland
Skaland is a small coastal village on the island of Senja in northern Norway, known for its scenic fjord landscape and proximity to rugged mountains.
-
C.
Mykland
Mykland is a small village in Agder county, Norway, known for its rural setting and surrounding forests and lakes.
-
D.
Dalarö
Dalarö is a historic coastal village in the Stockholm archipelago of Sweden, known as a seaside resort and gateway to nearby islands.
-
E.
Helleland
Helleland is a small village in Rogaland county, Norway, situated within the municipality of Eigersund.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b6c9fc8190a1bcf763c4b04b12 |
completed | April 16, 2026, 3 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa9361f5c8190b68702154d05bbc2 |
completed | May 9, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:47 a.m.