Triple
T2829051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reva |
E62191
|
entity |
| Predicate | hasMajorPilgrimageSite |
P20225
|
FINISHED |
| Object | Amarkantak |
E271224
|
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: Amarkantak | Statement: [Reva, hasMajorPilgrimageSite, Amarkantak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amarkantak Context triple: [Reva, hasMajorPilgrimageSite, Amarkantak]
-
A.
Amarkantak town
chosen
Amarkantak town is a small pilgrimage and tourist town in Madhya Pradesh, India, revered as the source region of several major rivers and home to numerous Hindu temples and ashrams.
-
B.
Kanchrapara
Kanchrapara is a town in the North 24 Parganas district of West Bengal, India, known historically for its railway workshop and suburban connectivity to Kolkata.
-
C.
Vikrampura
Vikrampura was an important historical city that served as a principal royal center of the medieval Indian Pala dynasty in eastern India.
-
D.
Khandala
Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
-
E.
Jagdalpur
Jagdalpur is a city in the Bastar district of Chhattisgarh, India, known for its tribal culture, dense forests, and proximity to major waterfalls and national parks.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe08ae5048190a0a3b573d9a5fdbc |
completed | March 7, 2026, 8:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d6b1ebc8190ae54d560abb5e612 |
completed | March 10, 2026, 1:32 p.m. |
Created at: March 6, 2026, 10:01 p.m.