Triple
T18845883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO 3166-2:OM |
E460910
|
entity |
| Predicate | hasSubdivisionName |
P12497
|
FINISHED |
| Object | Dhofar |
—
|
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: Dhofar | Statement: [ISO 3166-2:OM, hasSubdivisionName, Dhofar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dhofar Context triple: [ISO 3166-2:OM, hasSubdivisionName, Dhofar]
-
A.
Dhofar
chosen
Dhofar is a coastal and mountainous region in southwestern Oman known for its monsoon climate, frankincense production, and historical role in Arabian trade routes.
-
B.
Al Said
Al Said is the ruling royal family of Oman, known for its long-standing dynasty that has governed the country since the mid-18th century.
-
C.
Oman
Oman is a Middle Eastern country on the southeastern coast of the Arabian Peninsula, known for its historic trading ports, desert and mountain landscapes, and stable, oil-based economy.
-
D.
Al Wahat
Al Wahat is a region in northeastern Libya known for its desert oases and role in the country’s oil-producing area.
-
E.
Mahra Governorate
Mahra Governorate is a sparsely populated, eastern Yemeni region bordering Oman and the Arabian Sea, known for its distinct Mahri culture and preservation of Modern South Arabian languages.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8ee96988190bf247b986777945c |
completed | April 20, 2026, 5:26 a.m. |
Created at: April 10, 2026, 11:56 a.m.