Triple
T2875267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shigar Valley |
E56862
|
entity |
| Predicate | primaryLanguage |
P238
|
FINISHED |
| Object | Balti |
E77468
|
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: Balti | Statement: [Shigar Valley, primaryLanguage, Balti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balti Context triple: [Shigar Valley, primaryLanguage, Balti]
-
A.
Balti
chosen
Balti is a Tibetic language spoken primarily in the Baltistan region of northern Pakistan and parts of Ladakh, India.
-
B.
Bakkhali
Bakkhali is a seaside town and beach resort on the Bay of Bengal in the Indian state of West Bengal, known for its tranquil beaches and scenic coastal views.
-
C.
Khinkali
Khinkali is a popular Georgian dumpling typically filled with spiced meat and broth, known for its distinctive twisted top and eaten by hand.
-
D.
Rozogi
Rozogi is a village in northern Poland that serves as a local administrative and service center within the Warmian-Masurian Voivodeship.
-
E.
Baltiysk
Baltiysk is a Russian port town in the Kaliningrad Oblast, strategically located on the Baltic Sea and serving as an important naval base.
- 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe004a64481908f1897d9054a7368 |
completed | March 7, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03153b5048190925bfacc07f2db66 |
completed | March 10, 2026, 2:57 p.m. |
Created at: March 6, 2026, 10:03 p.m.