Triple
T17657242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mühlig-Hofmann Mountains |
E440156
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Jutulsessen
Jutulsessen is a prominent nunatak and research area in Queen Maud Land, Antarctica, known for hosting Norway’s Troll research station.
|
E1281228
|
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: Jutulsessen | Statement: [Mühlig-Hofmann Mountains, contains, Jutulsessen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jutulsessen Context triple: [Mühlig-Hofmann Mountains, contains, Jutulsessen]
-
A.
Yustaga
Yustaga were a Timucua-speaking Native American group that inhabited northwestern Florida during the early historic period.
-
B.
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.
-
C.
Sulitjelma
Sulitjelma is a small former mining village in Fauske Municipality, Nordland county, Norway, known for its mountainous surroundings and access to hiking and outdoor activities.
-
D.
Gitsegukla
Gitsegukla is a Gitxsan First Nations village in northwestern British Columbia, Canada.
-
E.
Talgje
Talgje is an island in Rogaland county, Norway, known for its historic church, fertile farmland, and scenic coastal landscape.
- 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: Jutulsessen Triple: [Mühlig-Hofmann Mountains, contains, Jutulsessen]
Generated description
Jutulsessen is a prominent nunatak and research area in Queen Maud Land, Antarctica, known for hosting Norway’s Troll research station.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jutulsessen Target entity description: Jutulsessen is a prominent nunatak and research area in Queen Maud Land, Antarctica, known for hosting Norway’s Troll research station.
-
A.
Yustaga
Yustaga were a Timucua-speaking Native American group that inhabited northwestern Florida during the early historic period.
-
B.
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.
-
C.
Sulitjelma
Sulitjelma is a small former mining village in Fauske Municipality, Nordland county, Norway, known for its mountainous surroundings and access to hiking and outdoor activities.
-
D.
Gitsegukla
Gitsegukla is a Gitxsan First Nations village in northwestern British Columbia, Canada.
-
E.
Talgje
Talgje is an island in Rogaland county, Norway, known for its historic church, fertile farmland, and scenic coastal landscape.
- 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_6a0216584eb88190afa898efae284934 |
completed | May 11, 2026, 5:48 p.m. |
| NEDg | Description generation | batch_6a0218a828548190b492e721e546f224 |
completed | May 11, 2026, 5:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02193505ec8190800570487768cf07 |
completed | May 11, 2026, 6 p.m. |
Created at: April 10, 2026, 9:27 a.m.