Triple
T17750698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sissu |
E443103
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Lahaul |
—
|
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: Lahaul | Statement: [Sissu, region, Lahaul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lahaul Context triple: [Sissu, region, Lahaul]
-
A.
Lahaul
chosen
Lahaul is a high-altitude, sparsely populated Himalayan region in northern India known for its rugged landscapes, Buddhist monasteries, and cold desert climate.
-
B.
Shimshal Valley
Shimshal Valley is a remote, high-altitude valley in northern Pakistan’s Hunza region, known for its dramatic Karakoram landscapes, trekking routes, and traditional Wakhi communities.
-
C.
Kinnaur
Kinnaur is a mountainous district in the Indian state of Himachal Pradesh, known for its dramatic Himalayan landscapes, apple orchards, and rich blend of Hindu and Buddhist culture.
-
D.
Baspa Valley
Baspa Valley is a scenic Himalayan valley in Himachal Pradesh, India, known for its picturesque villages, terraced fields, and trekking routes amid high mountain peaks.
-
E.
Zanskar Valley
Zanskar Valley is a remote, high-altitude valley in the Indian Himalayas known for its dramatic landscapes, Buddhist monasteries, and popular trekking and river-rafting routes.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4841a401c8190ae1dc0ed7ae4cc26 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 10:10 a.m.