Triple
T19924478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pelješac Channel |
E478887
|
entity |
| Predicate | hasTypicalWind |
P37481
|
FINISHED |
| Object | Bura |
—
|
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: Bura | Statement: [Pelješac Channel, hasTypicalWind, Bura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bura Context triple: [Pelješac Channel, hasTypicalWind, Bura]
-
A.
Bura
chosen
Bura is a strong, cold, and dry northeasterly wind that blows from the interior toward the Adriatic Sea, particularly affecting coastal regions of Croatia and neighboring areas.
-
B.
Bura
Bura is a Central Chadic language spoken primarily in northeastern Nigeria, known for its complex tonal system and rich verbal morphology.
-
C.
Daura
Daura is a historic town in Katsina State, northern Nigeria, regarded as a cultural center of the Hausa people and known as the hometown of former president Muhammadu Buhari.
-
D.
Shabara
Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
-
E.
Baidoa
Baidoa is a major city in southwestern Somalia that serves as an important political, economic, and transportation hub for the surrounding region.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659c88c548190b9b9eccbdd07d977 |
completed | April 20, 2026, 4:52 p.m. |
Created at: April 10, 2026, 1:53 p.m.