Triple
T15360441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haram |
E367274
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Longva
Longva is a small village in Norway’s Møre og Romsdal county, situated within the municipality of Haram on the island-dotted western coast.
|
E1159755
|
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: Longva | Statement: [Haram, containsSettlement, Longva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Longva Context triple: [Haram, containsSettlement, Longva]
-
A.
Sennevika
Sennevika is a small settlement located on the island of Senja in northern Norway, known for its coastal Arctic landscape.
-
B.
Strond
Strond is a small coastal village on the island of Borðoy in the Faroe Islands.
-
C.
Nesset
Nesset is a former municipality in western Norway known for its scenic fjord landscapes and rural communities.
-
D.
Volda
Volda is a municipality in Møre og Romsdal county, Norway, known for its fjord landscape, cultural life, and Volda University College.
-
E.
Vossevangen
Vossevangen is a village in western Norway that serves as the main commercial and cultural hub of the Voss region, known for its scenic surroundings and outdoor activities.
- 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: Longva Triple: [Haram, containsSettlement, Longva]
Generated description
Longva is a small village in Norway’s Møre og Romsdal county, situated within the municipality of Haram on the island-dotted western coast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Longva Target entity description: Longva is a small village in Norway’s Møre og Romsdal county, situated within the municipality of Haram on the island-dotted western coast.
-
A.
Sennevika
Sennevika is a small settlement located on the island of Senja in northern Norway, known for its coastal Arctic landscape.
-
B.
Strond
Strond is a small coastal village on the island of Borðoy in the Faroe Islands.
-
C.
Nesset
Nesset is a former municipality in western Norway known for its scenic fjord landscapes and rural communities.
-
D.
Volda
Volda is a municipality in Møre og Romsdal county, Norway, known for its fjord landscape, cultural life, and Volda University College.
-
E.
Vossevangen
Vossevangen is a village in western Norway that serves as the main commercial and cultural hub of the Voss region, known for its scenic surroundings and outdoor activities.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4607408190ab281a7f7a8012d3 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2cec4f2481908fae5209bfd48dcf |
completed | May 9, 2026, 12:47 p.m. |
| NEDg | Description generation | batch_69ff2e7bf8c881909fecb6cf86bc32f2 |
completed | May 9, 2026, 12:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff331c267c8190bbc26ddd47273be7 |
completed | May 9, 2026, 1:14 p.m. |
Created at: April 10, 2026, 3:18 a.m.