Triple
T13487227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Astori Shina |
E318535
|
entity |
| Predicate | hasDialectalRelation |
P78566
|
FINISHED |
| Object | Drasi Shina |
E81878
|
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: Drasi Shina | Statement: [Astori Shina, hasDialectalRelation, Drasi Shina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drasi Shina Context triple: [Astori Shina, hasDialectalRelation, Drasi Shina]
-
A.
Shina
chosen
Shina is an Indo-Aryan language spoken primarily in the Gilgit-Baltistan region of Pakistan and surrounding Himalayan areas.
-
B.
Teisheba
Teisheba is the Urartian storm and war god, often associated with thunder, rain, and military power in the ancient Near Eastern pantheon.
-
C.
Chushul
Chushul is a remote village in eastern Ladakh, India, near the Line of Actual Control with China and close to Pangong Lake, known for its strategic military significance and high-altitude terrain.
-
D.
Chinnha
Chinnha is a notable literary work by the influential Bengali writer Manik Bandopadhyay.
-
E.
Shimsha
Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbbe99ddc08190a8d79107c8e176fa |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75483a6f88190b3815fb8d97e65e4 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:42 p.m.