Triple
T15302844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hardanger |
E365829
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Granvin
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.
|
E1149928
|
NE FINISHED |
How this triple was built (4 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: [Hardanger, hasPart, Granvin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Granvin Context triple: [Hardanger, hasPart, Granvin]
-
A.
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.
-
B.
Mykland
Mykland is a small village in Agder county, Norway, known for its rural setting and surrounding forests and lakes.
-
C.
Dalarö
Dalarö is a historic coastal village in the Stockholm archipelago of Sweden, known as a seaside resort and gateway to nearby islands.
-
D.
Helleland
Helleland is a small village in Rogaland county, Norway, situated within the municipality of Eigersund.
-
E.
Lovön Island
Lovön Island is an island in Lake Mälaren near Stockholm, Sweden, best known as the site of the UNESCO-listed Drottningholm Palace and its historic royal grounds.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Granvin Triple: [Hardanger, hasPart, Granvin]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Granvin Target entity description: 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.
-
A.
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.
-
B.
Mykland
Mykland is a small village in Agder county, Norway, known for its rural setting and surrounding forests and lakes.
-
C.
Dalarö
Dalarö is a historic coastal village in the Stockholm archipelago of Sweden, known as a seaside resort and gateway to nearby islands.
-
D.
Helleland
Helleland is a small village in Rogaland county, Norway, situated within the municipality of Eigersund.
-
E.
Lovön Island
Lovön Island is an island in Lake Mälaren near Stockholm, Sweden, best known as the site of the UNESCO-listed Drottningholm Palace and its historic royal grounds.
- F. None of above. chosen
Provenance (5 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ccd575c8190aa43262d3b73ef3c |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef89bb46481908f27fa98eb6ac5c3 |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fefadf701c81909f23011643ef63f0 |
completed | May 9, 2026, 9:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefb42f11481908dd98e48fb068127 |
completed | May 9, 2026, 9:15 a.m. |
Created at: April 10, 2026, 3:15 a.m.