Triple
T10450016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lhotse |
E246395
|
entity |
| Predicate | nameMeaningInEnglish |
P1966
|
FINISHED |
| Object | South Peak |
E246395
|
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: South Peak | Statement: [Lhotse, nameMeaningInEnglish, South Peak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Peak Context triple: [Lhotse, nameMeaningInEnglish, South Peak]
-
A.
South Peak
chosen
South Peak is the English meaning of the name "Lhotse," the world’s fourth-highest mountain in the Himalayas, located near Mount Everest.
-
B.
South Peak
South Peak is a prominent summit of Mount Nebo in Utah’s Wasatch Range, known as one of the mountain’s main high points.
-
C.
South Peak
South Peak is the tallest and most prominent summit of Mount Hua, a famous sacred mountain in China known for its steep cliffs and dramatic hiking trails.
-
D.
North Peak
North Peak is a prominent sub-summit of Mount Nebo in Utah’s Wasatch Range, known as part of the highest massif in the range.
-
E.
North Peak
North Peak is one of the main summits of China’s Mount Hua, known for its dramatic cliffs and scenic mountain views.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe09af04819083db42f4de4cb0a9 |
completed | April 7, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a52daf1c81909c586e470a998073 |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 6, 2026, 12:17 p.m.