Triple
T21999654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiger Hill |
E543290
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Dras |
—
|
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: Dras | Statement: [Tiger Hill, associatedWith, Dras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dras Context triple: [Tiger Hill, associatedWith, Dras]
-
A.
Dras
chosen
Dras is a high-altitude town in the Kargil district of Ladakh, India, known as one of the coldest inhabited places in the world and a key location during the Kargil War.
-
B.
Dras Valley
Dras Valley is a high-altitude Himalayan valley in the Kargil district of Ladakh, India, known for its extreme cold temperatures and strategic location near the Line of Control.
-
C.
Nawalgarh
Nawalgarh is a historic town in Rajasthan, India, renowned for its richly painted havelis and cultural heritage within the Shekhawati region.
-
D.
Dharamkot
Dharamkot is a small hill village near McLeod Ganj in Himachal Pradesh, India, known for its scenic views, laid-back backpacker vibe, and access to popular Himalayan trekking routes.
-
E.
Kishangarh
Kishangarh is a town and legislative assembly constituency in Rajasthan, India, known for its marble industry and distinctive miniature paintings.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127699a7881908a80b6e9e33fcc0b |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:19 p.m.