Triple
T10795616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maya Devi Temple, Haridwar |
E254696
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Uttarakhand |
E30961
|
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: Uttarakhand | Statement: [Maya Devi Temple, Haridwar, locatedIn, Uttarakhand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uttarakhand Context triple: [Maya Devi Temple, Haridwar, locatedIn, Uttarakhand]
-
A.
Uttarakhand
chosen
Uttarakhand is a northern Indian state in the Himalayas known for its sacred rivers, pilgrimage sites, and mountainous landscapes.
-
B.
Himachal Pradesh
Himachal Pradesh is a mountainous state in northern India known for its Himalayan landscapes, hill stations, and tourism.
-
C.
Uttara-khanda
Uttara-khanda is a major concluding section of the Garuda Purana that focuses on topics such as ethics, rituals, afterlife, and paths to liberation in Hindu tradition.
-
D.
Sikkim
Sikkim is a small, mountainous Indian state in the eastern Himalayas known for its dramatic landscapes, Buddhist monasteries, and proximity to Mount Kanchenjunga.
-
E.
Garhwal
Garhwal is a mountainous cultural region in the Indian Himalayas, known for its Garhwali heritage, pilgrimage sites, and scenic landscapes in present-day Uttarakhand.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733321dd881909dcd4224dfa9822a |
completed | April 9, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de5654e2c48190a8f078b8164707e2 |
completed | April 14, 2026, 2:59 p.m. |
Created at: April 8, 2026, 9:17 p.m.