Triple
T2898550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sino-Indian War |
E62599
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Ladakh |
E76754
|
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: Ladakh | Statement: [Sino-Indian War, location, Ladakh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ladakh Context triple: [Sino-Indian War, location, Ladakh]
-
A.
Ladakh
chosen
Ladakh is a high-altitude, sparsely populated region in northern India known for its rugged mountains, Buddhist culture, and strategic location bordering Tibet and the Karakoram range.
-
B.
Jammu and Kashmir
Jammu and Kashmir is a northern region of the Indian subcontinent known for its mountainous terrain, strategic location, and long-standing political and territorial disputes.
-
C.
Sikkim
Sikkim is a small, mountainous Indian state in the eastern Himalayas known for its dramatic landscapes, Buddhist monasteries, and proximity to Mount Kanchenjunga.
-
D.
Himachal Pradesh
Himachal Pradesh is a mountainous state in northern India known for its Himalayan landscapes, hill stations, and tourism.
-
E.
Gilgit-Baltistan
Gilgit-Baltistan is a mountainous, strategically important region in northern Pakistan, known for its high peaks, including K2, and its location at the crossroads of South and Central Asia.
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe08fe3248190a6bb7de2a2c317b1 |
completed | March 7, 2026, 8:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108cc4870819081e68032517468a8 |
completed | March 11, 2026, 6:16 a.m. |
Created at: March 6, 2026, 10:10 p.m.