Triple
T16154146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venna River |
E391991
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Mahabaleshwar |
E943578
|
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: Mahabaleshwar | Statement: [Venna River, flowsThrough, Mahabaleshwar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahabaleshwar Context triple: [Venna River, flowsThrough, Mahabaleshwar]
-
A.
Mahabaleshwar
chosen
Mahabaleshwar is a popular hill station in the Western Ghats of Maharashtra, India, known for its cool climate, scenic viewpoints, and strawberry farms.
-
B.
Kailasagiri
Kailasagiri is a popular hilltop park and viewpoint in Visakhapatnam, India, known for its panoramic coastal views and large statues of Hindu deities.
-
C.
Chikhaldara
Chikhaldara is a hill station in Maharashtra, India, known for its cool climate, coffee plantations, and scenic views of the surrounding Satpura ranges.
-
D.
Skandagiri
Skandagiri is a sacred hill associated with the Hindu god Kartikeya, revered as one of his principal holy sites and pilgrimage destinations.
-
E.
Muktagiri
Muktagiri is a revered Jain pilgrimage destination, particularly significant to the Digambara sect, known for its cluster of ancient temples set amid scenic hills and waterfalls.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e57e95c8190ae4ed641be974ce5 |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7ac6d1c8190a8553ceb5ec06119 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:01 a.m.