Triple
T20306004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anjaneya |
E505609
|
entity |
| Predicate | worshippedIn |
P2291
|
FINISHED |
| Object | Nepal |
—
|
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: Nepal | Statement: [Anjaneya, worshippedIn, Nepal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nepal Context triple: [Anjaneya, worshippedIn, Nepal]
-
A.
Nepal
chosen
Nepal is a landlocked South Asian country in the Himalayas, known for Mount Everest, its rich cultural heritage, and its location between India and China.
-
B.
Bhutan
Bhutan is a small, landlocked Himalayan kingdom in South Asia known for its Buddhist culture, mountainous landscapes, and emphasis on Gross National Happiness.
-
C.
Gorkha, Nepal
Gorkha, Nepal is a historic hill town in central Nepal known as the ancestral home of the Shah dynasty and a significant religious and cultural center.
-
D.
Kangru
Kangru is a small village located within Kiili Parish in northern Estonia.
-
E.
Kingdom of Nepal
The Kingdom of Nepal was a former Himalayan monarchy in South Asia, centered on the Kathmandu Valley, that existed until it became the Federal Democratic Republic of Nepal in 2008.
- 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6773f8f688190b616f972b9bbb28e |
completed | April 20, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:18 a.m.