Triple
T11756242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raigad Ropeway |
E279532
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Raigad district |
E268104
|
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: Raigad district | Statement: [Raigad Ropeway, locatedIn, Raigad district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raigad district Context triple: [Raigad Ropeway, locatedIn, Raigad district]
-
A.
Raigad district
chosen
Raigad district is a coastal district in the Indian state of Maharashtra, known for its ports, historical forts, and proximity to Mumbai.
-
B.
Kolhapur district
Kolhapur district is an administrative region in the Indian state of Maharashtra, known for its historic temples, rich Maratha heritage, and production of Kolhapuri chappals and cuisine.
-
C.
Ratnagiri
Ratnagiri is a coastal city in Maharashtra, India, known for its Alphonso mangoes, historic forts, and scenic beaches along the Konkan coast.
-
D.
Hingoli
Hingoli is a city in the Indian state of Maharashtra, known as an administrative and commercial center in the Marathwada region.
-
E.
Palghar district
Palghar district is a coastal district in the state of Maharashtra, India, known for its tribal communities, industrial areas, and proximity to Mumbai.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50c8d708190ad79ecb57b715d04 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4580c9f7481908a45e6c098c06378 |
completed | May 1, 2026, 7:36 a.m. |
Created at: April 8, 2026, 9:41 p.m.