Triple
T21201920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ormuri language |
E522474
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Ormur |
—
|
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: Ormur | Statement: [Ormuri language, alternativeName, Ormur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ormur Context triple: [Ormuri language, alternativeName, 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.
Gouraya
Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
-
C.
Orma
Orma is a major dialect of the Oromo language spoken primarily by the Orma people of Kenya.
-
D.
Ormeesi
Ormeesi are the inhabitants or natives of the Italian town of Ormea, typically referring to its local population and community.
-
E.
Druun
The Druun are malevolent, amorphous spirits from Disney's "Raya and the Last Dragon" that turn living beings to stone and serve as the film’s primary antagonistic force.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73431973c81908c8682d7808a9d13 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 3:18 p.m.