Triple
T21166919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhom Dam |
E521587
|
entity |
| Predicate | suppliesWaterTo |
P4102
|
FINISHED |
| Object | Panchgani |
—
|
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: Panchgani | Statement: [Dhom Dam, suppliesWaterTo, Panchgani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panchgani Context triple: [Dhom Dam, suppliesWaterTo, Panchgani]
-
A.
Panchgani
chosen
Panchgani is a popular hill station in Maharashtra, India, known for its scenic plateau views, pleasant climate, and numerous boarding schools.
-
B.
Chikhaldara
Chikhaldara is a hill station in Maharashtra, India, known for its cool climate, coffee plantations, and scenic views of the surrounding Satpura ranges.
-
C.
Amboli hill station
Amboli hill station is a scenic, high-altitude resort town in Maharashtra’s Sahyadri range, known for its cool climate, dense forests, and numerous waterfalls.
-
D.
Lonavala
Lonavala is a popular hill station in Maharashtra, India, known for its lush green valleys, waterfalls, and scenic views along the Mumbai–Pune route.
-
E.
Mahabaleshwar
Mahabaleshwar is a popular hill station in the Western Ghats of Maharashtra, India, known for its cool climate, scenic viewpoints, and strawberry farms.
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7270fce708190a5715b55b406dd4e |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 2:59 p.m.