Triple
T16701899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mumbai–Pune route |
E405872
|
entity |
| Predicate | hasTouristAttractionAlong |
P55845
|
FINISHED |
| Object | Bhushi Dam |
E405873
|
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: Bhushi Dam | Statement: [Mumbai–Pune route, hasTouristAttractionAlong, Bhushi Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhushi Dam Context triple: [Mumbai–Pune route, hasTouristAttractionAlong, Bhushi Dam]
-
A.
Bhushi Dam
chosen
Bhushi Dam is a popular masonry dam and scenic picnic spot near Lonavala in Maharashtra, India, known for its cascading water steps and monsoon-time crowds.
-
B.
Bhima Dam
Bhima Dam is a major irrigation and water management structure built across the Bhima River in India.
-
C.
Bisalpur Dam
Bisalpur Dam is a major reservoir and water supply dam in Rajasthan, India, crucial for providing drinking water and irrigation to several nearby cities and regions.
-
D.
Ghataprabha Dam
Ghataprabha Dam is a major irrigation and hydroelectric dam in Karnataka, India, built across the Ghataprabha River to support agriculture and water supply in the region.
-
E.
Rawal Dam
Rawal Dam is a water reservoir structure near Islamabad, Pakistan, built to store and supply water from Rawal Lake for the surrounding region.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e383326d7081909ef4c3b724876513 |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012327b68881908ad5f4e2fe03f56a |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:19 a.m.