Triple
T8819236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Losar |
E209857
|
entity |
| Predicate | observedBy |
P1165
|
FINISHED |
| Object | Sherpas |
E187807
|
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: Sherpas | Statement: [Losar, observedBy, Sherpas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sherpas Context triple: [Losar, observedBy, Sherpas]
-
A.
Sherpa people
chosen
The Sherpa people are an ethnic group native to the Himalayan region of Nepal, renowned for their mountaineering expertise and vital role in high-altitude expeditions on peaks such as Everest.
-
B.
Mountaineers
The Mountaineers are the athletic teams representing Eastern Oregon University in intercollegiate sports.
-
C.
Mountaineers
The Mountaineers are the athletic teams representing West Virginia University in collegiate sports.
-
D.
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.
-
E.
Mountaineers
Mountaineers is the nickname and mascot for the athletic teams representing Mount St. Mary's University near Emmitsburg, Maryland.
- 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc600e6e2881908934cbff0ab5d6fd |
completed | April 1, 2026, midnight |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6fc96a8481909d09835845ccdcbf |
completed | April 3, 2026, 7:44 a.m. |
Created at: March 30, 2026, 6:46 p.m.