Triple
T8730176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Hillary |
E207234
|
entity |
| Predicate | hasClimbed |
P6289
|
FINISHED |
| Object | Seven Summits |
E30275
|
NE FINISHED |
How this triple was built (2 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: Seven Summits | Statement: [Peter Hillary, hasClimbed, Seven Summits]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seven Summits Context triple: [Peter Hillary, hasClimbed, Seven Summits]
-
A.
Seven Summits
chosen
The Seven Summits are the highest mountains on each of the seven continents, collectively regarded as a premier mountaineering challenge.
-
B.
Everest the Hard Way
Everest the Hard Way is a mountaineering book by British climber Chris Bonington that chronicles the 1975 British expedition’s pioneering ascent of Everest’s formidable Southwest Face.
-
C.
Mountaineers
Mountaineers is the nickname and mascot for the athletic teams representing Mount St. Mary's University near Emmitsburg, Maryland.
-
D.
Mountaineers
The Mountaineers are the athletic teams representing Berea College in intercollegiate sports.
-
E.
Mountaineers
The Mountaineers is the nickname of the U.S. Army’s 10th Mountain Division, an elite light infantry unit specialized in mountain and cold-weather warfare.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d26d280819085e15d4917c2b9a5 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf2923abc48190a5b6027c2e4f1db7 |
completed | April 3, 2026, 2:42 a.m. |
Created at: March 30, 2026, 6:37 p.m.