Triple
T1483531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bora wind |
E29412
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object |
Bura
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.
|
E169166
|
NE FINISHED |
How this triple was built (4 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: [Bora wind, alternateName, Bura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bura Context triple: [Bora wind, alternateName, Bura]
-
A.
Shabara
Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
-
B.
Garki
Garki is a prominent administrative and commercial district in Nigeria’s capital city, Abuja, housing numerous government offices, businesses, and residential areas.
-
C.
Terevaka
Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
-
D.
Buin
Buin is a Chilean town and commune located south of Santiago, known for its agricultural activity and the Buin Zoo.
-
E.
Zenne
The Zenne is a river in central Belgium that flows through Brussels and several nearby towns before joining the Dyle.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bura Triple: [Bora wind, alternateName, Bura]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bura Target entity description: 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.
-
A.
Shabara
Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
-
B.
Garki
Garki is a prominent administrative and commercial district in Nigeria’s capital city, Abuja, housing numerous government offices, businesses, and residential areas.
-
C.
Terevaka
Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
-
D.
Buin
Buin is a Chilean town and commune located south of Santiago, known for its agricultural activity and the Buin Zoo.
-
E.
Zenne
The Zenne is a river in central Belgium that flows through Brussels and several nearby towns before joining the Dyle.
- F. None of above. chosen
Provenance (5 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c679714c8190ac53630fb49e19c5 |
completed | March 1, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15b3a8548190b484a15757aee7b1 |
completed | March 8, 2026, 6:22 a.m. |
| NEDg | Description generation | batch_69ad16bc23808190ba26aa98764f3186 |
completed | March 8, 2026, 6:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad172912488190b77c77e4e61e0183 |
completed | March 8, 2026, 6:28 a.m. |
Created at: March 1, 2026, 8:12 p.m.