Triple
T906883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jabalpur |
E19567
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Bhedaghat |
E55985
|
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: Bhedaghat | Statement: [Jabalpur, knownFor, Bhedaghat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhedaghat Context triple: [Jabalpur, knownFor, Bhedaghat]
-
A.
Kisan Ghat
Kisan Ghat is a memorial in Delhi dedicated to Indian farmers, located near the Raj Ghat complex.
-
B.
Ghat
Ghat is a remote oasis town in southwestern Libya, historically significant as a Saharan caravan hub and gateway to the surrounding desert landscapes.
-
C.
Dhuandhar Falls
chosen
Dhuandhar Falls is a famous waterfall in Madhya Pradesh, India, known for its powerful cascades over marble rocks near Jabalpur.
-
D.
Baghat
Baghat was a small princely state in colonial India that was incorporated into British-controlled territory during the 19th century.
-
E.
Hogenakkal Falls
Hogenakkal Falls is a famous series of scenic waterfalls and rapids on the Kaveri River in Tamil Nadu, India, often called the "Niagara of India" and known for its boat rides and medicinal baths.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2cc85a08190bc8186eb9ed1fa38 |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c7391e6c8190836e8d7e7fdf9c93 |
completed | March 4, 2026, 5:46 a.m. |
Created at: March 1, 2026, 7:39 p.m.