Triple
T13442525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orel sector |
E320400
|
entity |
| Predicate | geographicalFeature |
P5378
|
FINISHED |
| Object | Orel salient |
E191974
|
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: Orel salient | Statement: [Orel sector, geographicalFeature, Orel salient]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orel salient Context triple: [Orel sector, geographicalFeature, Orel salient]
-
A.
Orel salient
chosen
The Orel salient was a German-held bulge in the Eastern Front lines around the city of Orel in World War II, which became the focus of a major Soviet counteroffensive following the Battle of Kursk.
-
B.
Orel
Orel is a male given name most famously associated with former Major League Baseball pitcher Orel Hershiser.
-
C.
Olesko
Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
-
D.
Orleton
Orleton is a small rural village in Herefordshire, England, known for its historic church and traditional countryside setting near the English–Welsh border.
-
E.
Udelar
Udelar is Uruguay’s main public university, renowned for its central role in the country’s higher education, research, and cultural life.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee881888190811ddf01bc699864 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7399421908190a7750e37c89a73f6 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:40 p.m.