Triple
T23351867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lierne |
E592933
|
entity |
| Predicate | hasMountain |
P10602
|
FINISHED |
| Object |
Hestkjølen
Hestkjølen is a mountain located in the municipality of Lierne in Trøndelag county, central Norway.
|
E1583361
|
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: Hestkjølen | Statement: [Lierne, hasMountain, Hestkjølen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hestkjølen Context triple: [Lierne, hasMountain, Hestkjølen]
-
A.
Porsanger
Porsanger is a large municipality in Troms og Finnmark county in northern Norway, known for its vast Arctic landscapes, Sámi culture, and the long Porsangerfjorden.
-
B.
Rennesøyhodnet
Rennesøyhodnet is the prominent hill that forms the highest natural point on the island of Rennesøy in Rogaland county, Norway.
-
C.
Brattekleiv
Brattekleiv is a small settlement located on the island of Tromøya in southern Norway.
-
D.
Stetind
Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
-
E.
Hisingen
Hisingen is a large island and district in Gothenburg, Sweden, known for its industrial areas, shipyards, and rapidly developing residential and tech hubs.
- 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: Hestkjølen Triple: [Lierne, hasMountain, Hestkjølen]
Generated description
Hestkjølen is a mountain located in the municipality of Lierne in Trøndelag county, central Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hestkjølen Target entity description: Hestkjølen is a mountain located in the municipality of Lierne in Trøndelag county, central Norway.
-
A.
Porsanger
Porsanger is a large municipality in Troms og Finnmark county in northern Norway, known for its vast Arctic landscapes, Sámi culture, and the long Porsangerfjorden.
-
B.
Rennesøyhodnet
Rennesøyhodnet is the prominent hill that forms the highest natural point on the island of Rennesøy in Rogaland county, Norway.
-
C.
Brattekleiv
Brattekleiv is a small settlement located on the island of Tromøya in southern Norway.
-
D.
Stetind
Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
-
E.
Hisingen
Hisingen is a large island and district in Gothenburg, Sweden, known for its industrial areas, shipyards, and rapidly developing residential and tech hubs.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a14e04c81909c007b97cf5378b6 |
completed | April 29, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dcc2fec819095f0457c311c25b6 |
completed | May 19, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0c5f0188388190a76923ea497f1b04 |
completed | May 19, 2026, 1 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c5fd0c4e88190901c08e6c969e7ac |
completed | May 19, 2026, 1:04 p.m. |
Created at: April 17, 2026, 5:20 p.m.