Triple
T3901707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Wamego |
E90507
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Mount Wamego
Mount Wamego is a small, themed roadside attraction in Wamego, Kansas, styled as a “mountain” landmark and local curiosity rather than a natural peak.
|
E483478
|
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 Wamego | Statement: [Mount Wamego, name, Mount Wamego]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Wamego Context triple: [Mount Wamego, name, Mount Wamego]
-
A.
Mount Curwood
Mount Curwood is a prominent peak in Michigan’s remote Huron Mountains, known as one of the state’s highest natural elevations.
-
B.
Mount Wister
Mount Wister is a prominent mountain peak in Wyoming’s Teton Range, known for its rugged terrain and challenging climbing routes.
-
C.
Mount Twynam
Mount Twynam is one of the highest peaks in mainland Australia, located in the Snowy Mountains of New South Wales.
-
D.
Mount Frissell
Mount Frissell is a peak in the Taconic Mountains best known for having a shoulder that marks the highest elevation point in the state of Connecticut.
-
E.
Mount Ritter
Mount Ritter is a prominent and rugged peak in California's Sierra Nevada, known for its striking granite profile and popularity among climbers and backpackers.
- 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 Wamego Triple: [Mount Wamego, name, Mount Wamego]
Generated description
Mount Wamego is a small, themed roadside attraction in Wamego, Kansas, styled as a “mountain” landmark and local curiosity rather than a natural peak.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mount Wamego Target entity description: Mount Wamego is a small, themed roadside attraction in Wamego, Kansas, styled as a “mountain” landmark and local curiosity rather than a natural peak.
-
A.
Mount Curwood
Mount Curwood is a prominent peak in Michigan’s remote Huron Mountains, known as one of the state’s highest natural elevations.
-
B.
Mount Wister
Mount Wister is a prominent mountain peak in Wyoming’s Teton Range, known for its rugged terrain and challenging climbing routes.
-
C.
Mount Twynam
Mount Twynam is one of the highest peaks in mainland Australia, located in the Snowy Mountains of New South Wales.
-
D.
Mount Frissell
Mount Frissell is a peak in the Taconic Mountains best known for having a shoulder that marks the highest elevation point in the state of Connecticut.
-
E.
Mount Ritter
Mount Ritter is a prominent and rugged peak in California's Sierra Nevada, known for its striking granite profile and popularity among climbers and backpackers.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecf481648190b70b7acd9c1cf687 |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be819b434c8190a33d45dcbec81a34 |
completed | March 21, 2026, 11:31 a.m. |
| NEDg | Description generation | batch_69be829895cc81908791dd9ea3de1b78 |
completed | March 21, 2026, 11:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be86bd48f0819095079d1a137b3dcc |
completed | March 21, 2026, 11:53 a.m. |
Created at: March 9, 2026, 3:21 p.m.