Triple
T22104521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uttarkashi |
E546251
|
entity |
| Predicate | hasNearbyPeak |
P7612
|
FINISHED |
| Object | Swargarohini |
—
|
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: Swargarohini | Statement: [Uttarkashi, hasNearbyPeak, Swargarohini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swargarohini Context triple: [Uttarkashi, hasNearbyPeak, Swargarohini]
-
A.
Swargarohini
chosen
Swargarohini is a prominent Himalayan peak in the Garhwal region of Uttarakhand, India, renowned for its dramatic, multi-summited massif and challenging climbing routes.
-
B.
Devasena
Devasena is a fierce and principled warrior princess from the Indian epic film series "Baahubali," known for her bravery, archery skills, and unwavering sense of justice.
-
C.
Devasena
Devasena is a Hindu goddess known as one of the wives of the war god Kartikeya, often associated with valor and divine grace.
-
D.
Hidimbi
Hidimbi is a rakshasi (demoness) from the Indian epic Mahabharata who marries the Pandava prince Bhima and becomes the mother of the warrior Ghatotkacha.
-
E.
Airavati
Airavati is the mythological white elephant mount of the Hindu god Indra, revered as a powerful and auspicious celestial creature.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291815f88190a6eaf73e444dc1c2 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.