Triple
T20491365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jispa |
E502751
|
entity |
| Predicate | roadAccessFrom |
P22549
|
FINISHED |
| Object | Manali |
—
|
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: Manali | Statement: [Jispa, roadAccessFrom, Manali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manali Context triple: [Jispa, roadAccessFrom, Manali]
-
A.
Manali
chosen
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.
-
B.
Sonamarg
Sonamarg is a scenic hill station in Jammu and Kashmir, India, famed for its snow-capped peaks, alpine meadows, and role as a gateway to Himalayan trekking routes and the Amarnath Yatra.
-
C.
Nalagarh
Nalagarh is a historic town and former princely state in Himachal Pradesh, India, known for its hilltop fort and scenic surroundings.
-
D.
Kullu
Kullu is a picturesque town in northern India’s Himalayas, known for its scenic valley, adventure tourism, and vibrant Dussehra festival.
-
E.
Deoghar
Deoghar is a prominent religious and cultural city in eastern India, renowned for the Baidyanath Jyotirlinga temple and its significance as a major Hindu pilgrimage center.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cba5b708190bef437acf6321b81 |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.