Triple
T15287180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manikaran |
E365430
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Kasol |
E549911
|
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: Kasol | Statement: [Manikaran, nearbyTown, Kasol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kasol Context triple: [Manikaran, nearbyTown, Kasol]
-
A.
Kasol
chosen
Kasol is a small village and popular backpacker destination in Himachal Pradesh’s Parvati Valley, known for its scenic mountain landscapes, trekking routes, and vibrant traveler culture.
-
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.
Gudalur
Gudalur is a town in the Nilgiris region of Tamil Nadu, India, known for its tea plantations, forested hills, and proximity to wildlife sanctuaries.
-
D.
Kasauli
Kasauli is a small, picturesque hill station in the Indian state of Himachal Pradesh, known for its colonial-era architecture, pine forests, and tranquil atmosphere.
-
E.
Manali
Manali is a popular hill station and tourist town in the Indian state of Himachal Pradesh, known for its scenic Himalayan landscapes, adventure sports, and cool climate.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e551bb0819094db097285443740 |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff364bafd0819086b8aab1c216c6fa |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:15 a.m.