Triple
T1000194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaivism |
E21584
|
entity |
| Predicate | majorPilgrimageSite |
P16196
|
FINISHED |
| Object | Kailash Mountain |
E101720
|
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: Kailash Mountain | Statement: [Shaivism, majorPilgrimageSite, Kailash Mountain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kailash Mountain Context triple: [Shaivism, majorPilgrimageSite, Kailash Mountain]
-
A.
Kailash
Kailash is an Indian social reformer and Nobel Peace Prize laureate renowned for his decades-long campaign against child labor and exploitation.
-
B.
Mount Kailash
chosen
Mount Kailash is a sacred peak in the Transhimalaya of Tibet revered in Hinduism, Buddhism, Jainism, and Bon as a cosmic mountain and major pilgrimage site.
-
C.
Mahakala
Mahakala is a fierce, time-devouring form of the Hindu god Shiva, associated with destruction, protection, and the transcendence of temporal existence.
-
D.
K2
K2 is the world’s second-highest mountain, a notoriously difficult and dangerous peak in the Karakoram range of the Himalayas.
-
E.
Kangchenjunga
Kangchenjunga is the world’s third-highest mountain, a massive peak in the eastern Himalayas on the border between Nepal and India.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7570b388190ada9693935792a58 |
completed | March 1, 2026, 10:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac428ba1d88190bd2fd9d3de699291 |
completed | March 7, 2026, 3:21 p.m. |
Created at: March 1, 2026, 7:41 p.m.