Triple
T17657272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heimefront Range |
E440157
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Fimbulheimen
Fimbulheimen is a major mountainous region in Queen Maud Land, Antarctica, known for its extensive ranges and glaciated terrain.
|
E1281740
|
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: Fimbulheimen | Statement: [Heimefront Range, partOf, Fimbulheimen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fimbulheimen Context triple: [Heimefront Range, partOf, Fimbulheimen]
-
A.
Frostlendet
Frostlendet is a glaciated valley or ice-filled area located within Antarctica’s Mühlig-Hofmann Mountains in Queen Maud Land.
-
B.
Frierfjord
Frierfjord is a fjord in Telemark, Norway, known for its industrial shoreline and role as part of the coastal waterway near the Grenland region.
-
C.
Helheim
Helheim is the cold, misty underworld realm in Norse mythology ruled by the goddess Hel, where many of the dead reside.
-
D.
Grimeton
Grimeton is a locality in Sweden best known for hosting the historic VLF radio station SAQ, a UNESCO World Heritage Site.
-
E.
Ewigschneefäld
Ewigschneefäld is a high-altitude glacier in the Bernese Alps of Switzerland, known for its extensive ice fields and proximity to major peaks like the Fiescherhorn.
- 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: Fimbulheimen Triple: [Heimefront Range, partOf, Fimbulheimen]
Generated description
Fimbulheimen is a major mountainous region in Queen Maud Land, Antarctica, known for its extensive ranges and glaciated terrain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fimbulheimen Target entity description: Fimbulheimen is a major mountainous region in Queen Maud Land, Antarctica, known for its extensive ranges and glaciated terrain.
-
A.
Frostlendet
Frostlendet is a glaciated valley or ice-filled area located within Antarctica’s Mühlig-Hofmann Mountains in Queen Maud Land.
-
B.
Frierfjord
Frierfjord is a fjord in Telemark, Norway, known for its industrial shoreline and role as part of the coastal waterway near the Grenland region.
-
C.
Helheim
Helheim is the cold, misty underworld realm in Norse mythology ruled by the goddess Hel, where many of the dead reside.
-
D.
Grimeton
Grimeton is a locality in Sweden best known for hosting the historic VLF radio station SAQ, a UNESCO World Heritage Site.
-
E.
Ewigschneefäld
Ewigschneefäld is a high-altitude glacier in the Bernese Alps of Switzerland, known for its extensive ice fields and proximity to major peaks like the Fiescherhorn.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea2b3308190b9ad752728d98856 |
completed | April 19, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02232075b48190a3defc74027b775e |
completed | May 11, 2026, 6:42 p.m. |
| NEDg | Description generation | batch_6a02258632d081909249af799f8d2adb |
completed | May 11, 2026, 6:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0225cb32c4819089ef592279cd64cb |
completed | May 11, 2026, 6:54 p.m. |
Created at: April 10, 2026, 9:27 a.m.