Triple
T3579179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molde |
E75759
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object |
Moldefjorden
Moldefjorden is a Norwegian fjord in Møre og Romsdal county, known for its scenic coastal landscape and its association with the town of Molde.
|
E316582
|
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: Moldefjorden | Statement: [Molde, locatedOn, Moldefjorden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moldefjorden Context triple: [Molde, locatedOn, Moldefjorden]
-
A.
Randsfjorden
Randsfjorden is one of Norway’s largest inland lakes, located in Eastern Norway and known for its elongated shape and surrounding forested landscapes.
-
B.
Storfjorden
Storfjorden is a major fjord in western Norway known for its dramatic landscapes and proximity to the coastal town of Ålesund.
-
C.
Horgefjorden
Horgefjorden is a fjord in Rogaland county, Norway, known for its coastal landscapes and proximity to the island municipality of Finnøy.
-
D.
Bremnesfjorden
Bremnesfjorden is a fjord in Norway known for its coastal landscape along the island of Averøya.
-
E.
Tyrifjorden
Tyrifjorden is one of Norway’s largest lakes, known for its scenic surroundings and importance as a recreational and ecological area in Eastern Norway.
- 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: Moldefjorden Triple: [Molde, locatedOn, Moldefjorden]
Generated description
Moldefjorden is a Norwegian fjord in Møre og Romsdal county, known for its scenic coastal landscape and its association with the town of Molde.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moldefjorden Target entity description: Moldefjorden is a Norwegian fjord in Møre og Romsdal county, known for its scenic coastal landscape and its association with the town of Molde.
-
A.
Randsfjorden
Randsfjorden is one of Norway’s largest inland lakes, located in Eastern Norway and known for its elongated shape and surrounding forested landscapes.
-
B.
Storfjorden
Storfjorden is a major fjord in western Norway known for its dramatic landscapes and proximity to the coastal town of Ålesund.
-
C.
Horgefjorden
Horgefjorden is a fjord in Rogaland county, Norway, known for its coastal landscapes and proximity to the island municipality of Finnøy.
-
D.
Bremnesfjorden
chosen
Bremnesfjorden is a fjord in Norway known for its coastal landscape along the island of Averøya.
-
E.
Tyrifjorden
Tyrifjorden is one of Norway’s largest lakes, known for its scenic surroundings and importance as a recreational and ecological area in Eastern Norway.
- F. None of above.
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_69ad85d5e3008190bdfe0bacdd1f5a1b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0defe14819095a337a840e33300 |
completed | March 8, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b53fd5a9ec81909f1836b00f97a3fa |
completed | March 14, 2026, 11 a.m. |
| NEDg | Description generation | batch_69b540eb53788190aa281ee38edc1729 |
completed | March 14, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b541a55cb081909ec1f87a7553b6f2 |
completed | March 14, 2026, 11:08 a.m. |
Created at: March 8, 2026, 3:21 p.m.