Triple
T2042515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Iranian languages |
E44775
|
entity |
| Predicate | hasLivingLanguage |
P20092
|
FINISHED |
| Object | Ormur |
E228139
|
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: Ormur | Statement: [Eastern Iranian languages, hasLivingLanguage, Ormur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ormur Context triple: [Eastern Iranian languages, hasLivingLanguage, Ormur]
-
A.
Ormur
chosen
Ormur is a lesser-known Eastern Iranian language spoken primarily by the Ormur people in parts of Afghanistan and Pakistan.
-
B.
Orma
Orma is a major dialect of the Oromo language spoken primarily by the Orma people of Kenya.
-
C.
Drongen
Drongen is a district of the Belgian city of Ghent, known as a suburban area in East Flanders.
-
D.
Melipal
Melipal is one of the Unit Telescopes of the Very Large Telescope array at ESO’s Paranal Observatory in Chile, used for advanced optical and infrared astronomical observations.
-
E.
Krakhuna
Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
- 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbdbfe6188190a32ab023660312bd |
completed | March 7, 2026, 5:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae271399a08190946b315f439b9b2f |
completed | March 9, 2026, 1:49 a.m. |
Created at: March 4, 2026, 7:39 p.m.