Triple
T22241124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bartangi |
E549724
|
entity |
| Predicate | neighboringLanguages |
P16383
|
FINISHED |
| Object | Rushani |
—
|
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: Rushani | Statement: [Bartangi, neighboringLanguages, Rushani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rushani Context triple: [Bartangi, neighboringLanguages, Rushani]
-
A.
Rushani
chosen
Rushani is an Eastern Iranian language spoken primarily in the Rushan region of Tajikistan and neighboring areas.
-
B.
Nishani
Nishani is an Albanian surname most notably borne by Bujar Nishani, a former President of Albania.
-
C.
Rasesh
Rasesh is an actor who appeared in the Indian film "Mrigayaa."
-
D.
Barshaini
Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
-
E.
Rakcham
Rakcham is a small Himalayan village in Himachal Pradesh, India, known for its scenic alpine landscapes, traditional Kinnauri culture, and proximity to trekking routes in the Baspa Valley.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f132140ed481909ab0d4022756a4ba |
completed | April 28, 2026, 10:17 p.m. |
Created at: April 16, 2026, 8:38 p.m.