Triple
T2237542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Virginia University |
E49315
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Mountaineers
The Mountaineers are the athletic teams representing West Virginia University in collegiate sports.
|
E248567
|
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: Mountaineers | Statement: [West Virginia University, nickname, Mountaineers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mountaineers Context triple: [West Virginia University, nickname, Mountaineers]
-
A.
Mountaineers
The Mountaineers are the athletic teams representing Eastern Oregon University in intercollegiate sports.
-
B.
The Mountain
The Mountain was a radical left-wing political faction during the French Revolution, known for its dominance in the National Convention and its role in the Reign of Terror.
-
C.
High Peaks
High Peaks is a rugged, rocky summit area in Pinnacles National Park known for its dramatic spires, steep cliffs, and popular hiking trails.
-
D.
The Names of the Mountains
The Names of the Mountains is a children's book by Reeve Lindbergh that gently explores themes of nature, family, and memory through lyrical storytelling.
-
E.
Trekkers
Trekkers are devoted fans of the Star Trek franchise, known for their deep engagement with its stories, characters, and speculative science fiction universe.
- 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: Mountaineers Triple: [West Virginia University, nickname, Mountaineers]
Generated description
The Mountaineers are the athletic teams representing West Virginia University in collegiate sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mountaineers Target entity description: The Mountaineers are the athletic teams representing West Virginia University in collegiate sports.
-
A.
Mountaineers
The Mountaineers are the athletic teams representing Eastern Oregon University in intercollegiate sports.
-
B.
The Mountain
The Mountain was a radical left-wing political faction during the French Revolution, known for its dominance in the National Convention and its role in the Reign of Terror.
-
C.
High Peaks
High Peaks is a rugged, rocky summit area in Pinnacles National Park known for its dramatic spires, steep cliffs, and popular hiking trails.
-
D.
The Names of the Mountains
The Names of the Mountains is a children's book by Reeve Lindbergh that gently explores themes of nature, family, and memory through lyrical storytelling.
-
E.
Trekkers
Trekkers are devoted fans of the Star Trek franchise, known for their deep engagement with its stories, characters, and speculative science fiction universe.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc096c7748190a545cc9b229bde62 |
completed | March 7, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b08c5248190924a28f4c1bd0e2c |
completed | March 9, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69ae6c5cb33481909261f7010e8e21a6 |
completed | March 9, 2026, 6:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6cd61e808190aefca4d4aa1f8e39 |
completed | March 9, 2026, 6:46 a.m. |
Created at: March 4, 2026, 7:47 p.m.