Triple
T196374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Asia |
E3827
|
entity |
| Predicate | hasMountainRange |
P651
|
FINISHED |
| Object | Himalayas |
E5063
|
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: Himalayas | Statement: [East Asia, hasMountainRange, Himalayas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Himalayas Context triple: [East Asia, hasMountainRange, Himalayas]
-
A.
Himalayas
chosen
The Himalayas are a vast mountain range in Asia, home to many of the world’s highest peaks including Mount Everest, and form a natural barrier between the Indian subcontinent and the Tibetan Plateau.
-
B.
Karakoram
Karakoram is a major mountain range in Central and South Asia, home to some of the world’s highest peaks including K2 and extensive glaciers.
-
C.
Hindu Kush
The Hindu Kush is a major mountain range in Central and South Asia, forming a rugged extension of the Himalayas and serving as a historic crossroads between the Indian subcontinent and the Middle East.
-
D.
Tien Shan
Tien Shan is a vast Central Asian mountain system spanning several countries, known for its high, glaciated peaks and role as a major source of regional rivers.
-
E.
Alps
The Alps are a major European mountain range stretching across several countries, renowned for their high peaks, including Mont Blanc, and their importance for tourism, skiing, and alpine ecosystems.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a25983b49c819080f7e161904c53da |
completed | Feb. 28, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3161cdc4c8190bc67683a1a5d39d9 |
completed | Feb. 28, 2026, 4:21 p.m. |
Created at: Feb. 28, 2026, 2:41 a.m.