Triple
T4791741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kangra district |
E106616
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Dharamshala |
E73126
|
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: Dharamshala | Statement: [Kangra district, contains, Dharamshala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dharamshala Context triple: [Kangra district, contains, Dharamshala]
-
A.
Dharamshala
chosen
Dharamshala is a hill town in northern India known as the residence of the Dalai Lama and the headquarters of the Tibetan government-in-exile.
-
B.
Shimla
Shimla is a popular hill station and the capital city of Himachal Pradesh, known for its colonial-era architecture and scenic Himalayan surroundings in northern India.
-
C.
Leh
Leh is a historic town in the Indian union territory of Ladakh, known for its high-altitude Himalayan landscape, Buddhist monasteries, and role as a former trading hub on the Silk Route.
-
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.
Nurpur
Nurpur is a historic town in the Kangra district of Himachal Pradesh, India, known for its ancient fort and temples amid scenic Himalayan foothills.
- 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_69bd43f591c881909e5a532388b0f3f3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65ddff388190b55071ed5cae7688 |
completed | March 20, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be778861a88190bf7c9f04d903a5e2 |
completed | March 21, 2026, 10:48 a.m. |
Created at: March 20, 2026, 1:22 p.m.