Triple
T95774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alps region |
E1926
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object | Mont Blanc |
E2386
|
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: Mont Blanc | Statement: [Alps region, highestPoint, Mont Blanc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mont Blanc Context triple: [Alps region, highestPoint, Mont Blanc]
-
A.
Mont Blanc
chosen
Mont Blanc is the tallest mountain in the Alps and Western Europe, straddling the border between France and Italy and renowned for mountaineering and skiing.
-
B.
Mount Elbrus
Mount Elbrus is a dormant stratovolcano in the Caucasus Mountains of Russia and the highest peak on the European continent.
-
C.
Aconcagua
Aconcagua is the highest mountain in the Americas and the tallest peak outside of Asia, located in the Andes of western Argentina.
-
D.
Gran Glaciar Norte
Gran Glaciar Norte is the largest and most prominent glacier on Mexico’s Pico de Orizaba volcano, forming a major part of its high-altitude ice cap.
-
E.
Ben Nevis
Ben Nevis is the tallest mountain in the British Isles, located near Fort William in the Scottish Highlands and popular for hiking and climbing.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24fd4777c81909ea9b9a6bd4f7ad5 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a266ed314881908b6e5e7a91930b56 |
completed | Feb. 28, 2026, 3:54 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.