Triple
T4188945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skardu |
E88385
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Baltistan |
E13296
|
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: Baltistan | Statement: [Skardu, partOf, Baltistan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baltistan Context triple: [Skardu, partOf, Baltistan]
-
A.
Gilgit-Baltistan
chosen
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.
-
B.
Gilgit
Gilgit is a major town in northern Pakistan that serves as a key regional hub for trade, tourism, and access to the Karakoram mountain range.
-
C.
Gilgiti Shina
Gilgiti Shina is a regional variety of the Shina language spoken primarily in and around Gilgit in northern Pakistan.
-
D.
Ladakh
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.
-
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 (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_69aed9477e8c81908bcb862d2db55b1d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0326eaec819083cd298c9219dd15 |
completed | March 9, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5db77e7d88190a7ba250972e133fa |
completed | March 14, 2026, 10:04 p.m. |
Created at: March 9, 2026, 3:46 p.m.