Triple
T8559845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kharsali village |
E202662
|
entity |
| Predicate | nearbyPlace |
P2064
|
FINISHED |
| Object | Janki Chatti |
E202661
|
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: Janki Chatti | Statement: [Kharsali village, nearbyPlace, Janki Chatti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janki Chatti Context triple: [Kharsali village, nearbyPlace, Janki Chatti]
-
A.
Janki Chatti
chosen
Janki Chatti is a small Himalayan settlement in Uttarakhand, India, that serves as the primary road-access point and base for pilgrims trekking to the Yamunotri temple.
-
B.
Sunidhi Chauhan
Sunidhi Chauhan is a prominent Indian playback singer known for her powerful, versatile voice and numerous hit songs across Bollywood films.
-
C.
Alka Yagnik
Alka Yagnik is a renowned Indian playback singer celebrated for her melodious voice and numerous hit songs in Hindi cinema since the 1980s.
-
D.
Hema Malini
Hema Malini is a renowned Indian actress, dancer, filmmaker, and politician, celebrated as one of Bollywood’s most iconic leading ladies since the 1970s.
-
E.
Neha Kakkar
Neha Kakkar is a popular Indian playback singer known for her hit Bollywood songs and energetic vocal style.
- 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe949974c8190a75d9c767ca5fa5a |
completed | March 31, 2026, 3:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea871dd3081908e24c4d1c60a8381 |
completed | April 2, 2026, 5:33 p.m. |
Created at: March 30, 2026, 6:20 p.m.