Triple
T14971292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ullensvang |
E373324
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Utne
Utne is a small village in western Norway known for its scenic location along the Hardangerfjord and its historic wooden hotel.
|
E1130054
|
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: Utne | Statement: [Ullensvang, containsSettlement, Utne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Utne Context triple: [Ullensvang, containsSettlement, Utne]
-
A.
Uden
Uden is a town in the southern Netherlands known for its location in the province of North Brabant and its proximity to nature reserves and regional industry.
-
B.
Unna
Unna is a town in the German state of North Rhine-Westphalia, known historically as a regional trading center near Dortmund.
-
C.
Udelnaya
Udelnaya is a residential neighborhood and railway station area in the northern part of Saint Petersburg, Russia.
-
D.
Udelar
Udelar is Uruguay’s main public university, renowned for its central role in the country’s higher education, research, and cultural life.
-
E.
Utelle
Utelle is a small rural commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
- 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: Utne Triple: [Ullensvang, containsSettlement, Utne]
Generated description
Utne is a small village in western Norway known for its scenic location along the Hardangerfjord and its historic wooden hotel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Utne Target entity description: Utne is a small village in western Norway known for its scenic location along the Hardangerfjord and its historic wooden hotel.
-
A.
Uden
Uden is a town in the southern Netherlands known for its location in the province of North Brabant and its proximity to nature reserves and regional industry.
-
B.
Unna
Unna is a town in the German state of North Rhine-Westphalia, known historically as a regional trading center near Dortmund.
-
C.
Udelnaya
Udelnaya is a residential neighborhood and railway station area in the northern part of Saint Petersburg, Russia.
-
D.
Udelar
Udelar is Uruguay’s main public university, renowned for its central role in the country’s higher education, research, and cultural life.
-
E.
Utelle
Utelle is a small rural commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e59a7c8190a1634a706ea68fda |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8be6ce68819099f841d83c6ca33d |
completed | May 9, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69fe8e512adc8190a1cf47f1713a968f |
completed | May 9, 2026, 1:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8ec3d718819098629558bc007496 |
completed | May 9, 2026, 1:32 a.m. |
Created at: April 10, 2026, 2:50 a.m.