Triple
T18781821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gang Rinpoche |
E459275
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Kailāsa |
—
|
NE NERFINISHED |
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: Kailāsa | Statement: [Gang Rinpoche, alternateName, Kailāsa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kailāsa Context triple: [Gang Rinpoche, alternateName, Kailāsa]
-
A.
Kailāsa Parvata
chosen
Kailāsa Parvata is a revered Himalayan peak in Tibet considered sacred in Hinduism, Buddhism, Jainism, and Bon, often identified as the mythical abode of Lord Shiva.
-
B.
Dakshina Kailasam
Dakshina Kailasam is an honorific name for the temple town of Srikalahasti in Andhra Pradesh, revered as a major Shaivite pilgrimage center comparable in sanctity to Mount Kailash.
-
C.
Kailasagiri
Kailasagiri is a popular hilltop park and viewpoint in Visakhapatnam, India, known for its panoramic coastal views and large statues of Hindu deities.
-
D.
Kailash Kailash
Kailash Kailash is a technology entrepreneur best known as the founder of the cloud security company Zscaler.
-
E.
Kailash
Kailash is an Indian social reformer and Nobel Peace Prize laureate renowned for his decades-long campaign against child labor and exploitation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5977d7c5c8190ab2aadb47283965d |
completed | April 20, 2026, 3:03 a.m. |
Created at: April 10, 2026, 11:52 a.m.