Triple
T18113180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lom |
E433531
|
entity |
| Predicate | hasMountainArea |
P24755
|
FINISHED |
| Object |
Breheimen
Breheimen is a mountainous region in Norway known for its glaciers, rugged peaks, and protected national park landscapes.
|
E1318493
|
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: Breheimen | Statement: [Lom, hasMountainArea, Breheimen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Breheimen Context triple: [Lom, hasMountainArea, Breheimen]
-
A.
Reinheim
Reinheim is a small town in the German state of Hesse, located southeast of Darmstadt in the Darmstadt-Dieburg district.
-
B.
Bjerke
Bjerke is a neighborhood in the Bjerke borough of Oslo, Norway, known primarily as a residential area with local services and amenities.
-
C.
Bergvik
Bergvik is a small locality in central Sweden situated within Söderhamn Municipality in Gävleborg County.
-
D.
Bømlo
Bømlo is a large island and municipality in Vestland county, Norway, known for its rugged coastline, fishing communities, and extensive network of tunnels and bridges connecting it to the mainland.
-
E.
Eiderstedt
Eiderstedt is a low-lying peninsula on Germany’s North Sea coast known for its dike-protected marshlands, agriculture, and coastal tourism.
- 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: Breheimen Triple: [Lom, hasMountainArea, Breheimen]
Generated description
Breheimen is a mountainous region in Norway known for its glaciers, rugged peaks, and protected national park landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Breheimen Target entity description: Breheimen is a mountainous region in Norway known for its glaciers, rugged peaks, and protected national park landscapes.
-
A.
Reinheim
Reinheim is a small town in the German state of Hesse, located southeast of Darmstadt in the Darmstadt-Dieburg district.
-
B.
Bjerke
Bjerke is a neighborhood in the Bjerke borough of Oslo, Norway, known primarily as a residential area with local services and amenities.
-
C.
Bergvik
Bergvik is a small locality in central Sweden situated within Söderhamn Municipality in Gävleborg County.
-
D.
Bømlo
Bømlo is a large island and municipality in Vestland county, Norway, known for its rugged coastline, fishing communities, and extensive network of tunnels and bridges connecting it to the mainland.
-
E.
Eiderstedt
Eiderstedt is a low-lying peninsula on Germany’s North Sea coast known for its dike-protected marshlands, agriculture, and coastal tourism.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd3fd9c81909bfe95927f7553e3 |
completed | April 19, 2026, 1:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03c4aeb2188190be2f649e6160649b |
completed | May 13, 2026, 12:24 a.m. |
| NEDg | Description generation | batch_6a03c5d747388190ba3ad649bf16a570 |
completed | May 13, 2026, 12:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03c6f191b081909a0e65fa1d553b82 |
completed | May 13, 2026, 12:33 a.m. |
Created at: April 10, 2026, 10:28 a.m.