Triple
T5646109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympus Range |
E124387
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object |
Mount Odin
Mount Odin is a prominent mountain peak in Antarctica’s Olympus Range, known for its rugged terrain and remote polar environment.
|
E537428
|
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: Mount Odin | Statement: [Olympus Range, hasPeak, Mount Odin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Odin Context triple: [Olympus Range, hasPeak, Mount Odin]
-
A.
Mount Odin
Mount Odin is a prominent, rugged mountain peak in the Baffin Mountains of Nunavut, Canada, known for its dramatic granite cliffs and Arctic wilderness setting.
-
B.
Valaskjálf
Valaskjálf is the lofty, silver-roofed hall in Norse mythology where the god Odin sits on his high throne Hliðskjálf to survey all the worlds.
-
C.
Hrungnir
Hrungnir is a stone-skinned giant from Norse mythology famed for his duel with the god Thor.
-
D.
Tôr
Tôr is a small village in the municipality of Loulé in Portugal’s Algarve region, known for its rural character and surrounding vineyards.
-
E.
Urstein
Urstein is a locality in the municipality of Puch bei Hallein in the Austrian state of Salzburg, known for hosting the Salzburg University of Applied Sciences campus.
- 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: Mount Odin Triple: [Olympus Range, hasPeak, Mount Odin]
Generated description
Mount Odin is a prominent mountain peak in Antarctica’s Olympus Range, known for its rugged terrain and remote polar environment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mount Odin Target entity description: Mount Odin is a prominent mountain peak in Antarctica’s Olympus Range, known for its rugged terrain and remote polar environment.
-
A.
Mount Odin
Mount Odin is a prominent, rugged mountain peak in the Baffin Mountains of Nunavut, Canada, known for its dramatic granite cliffs and Arctic wilderness setting.
-
B.
Valaskjálf
Valaskjálf is the lofty, silver-roofed hall in Norse mythology where the god Odin sits on his high throne Hliðskjálf to survey all the worlds.
-
C.
Hrungnir
Hrungnir is a stone-skinned giant from Norse mythology famed for his duel with the god Thor.
-
D.
Tôr
Tôr is a small village in the municipality of Loulé in Portugal’s Algarve region, known for its rural character and surrounding vineyards.
-
E.
Urstein
Urstein is a locality in the municipality of Puch bei Hallein in the Austrian state of Salzburg, known for hosting the Salzburg University of Applied Sciences campus.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022aa650c819088d9046b82fab631 |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d84e14c8190b913486cb516eee1 |
completed | March 22, 2026, 8:13 p.m. |
| NEDg | Description generation | batch_69c04edbf1f081908d74d0ac29601a35 |
completed | March 22, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f7e64c88190bbced2f2460c1913 |
completed | March 22, 2026, 8:22 p.m. |
Created at: March 22, 2026, 3:41 p.m.