Triple
T14933984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ishkashimi |
E372341
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Sanglechi |
E228137
|
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: Sanglechi | Statement: [Ishkashimi, closelyRelatedTo, Sanglechi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanglechi Context triple: [Ishkashimi, closelyRelatedTo, Sanglechi]
-
A.
Sanglechi
chosen
Sanglechi is a lesser-known Eastern Iranian language spoken in parts of northeastern Afghanistan and adjacent regions.
-
B.
Oshikwambi
Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
-
C.
Garango
Garango is a town in Burkina Faso known for its cultural and municipal ties with the German town of Ladenburg.
-
D.
Kasangati
Kasangati is a town in central Uganda that serves as a growing commercial and residential hub within the Greater Kampala metropolitan area.
-
E.
Chambeali
Chambeali is an Indo-Aryan language spoken primarily in the Chamba region of Himachal Pradesh in northern India.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded646a0808190ba5c0c91bde011c5 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe968bbbac8190a258c42b226f9def |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:37 a.m.