Triple
T6198425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Zenta |
E138568
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Senta |
E138568
|
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: Senta | Statement: [Battle of Zenta, locatedIn, Senta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Senta Context triple: [Battle of Zenta, locatedIn, Senta]
-
A.
Senta
chosen
Senta is a town in northern Serbia, on the Tisa River, historically notable as the site of the 1697 Battle of Zenta between the Habsburg and Ottoman Empires.
-
B.
Jolanda
Jolanda is a feminine given name, commonly considered a variant of Yolanda, used in various European countries.
-
C.
Bauline
Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
-
D.
Sabina
Sabina is a central character in Thornton Wilder’s play "The Skin of Our Teeth," serving as both a maid and a self-aware, often comedic commentator who breaks the fourth wall to reflect on the absurdities of human existence.
-
E.
Sabina
Sabina is a historical region of central Italy, traditionally inhabited by the Sabines and known for its rugged landscape and proximity to ancient Rome.
- 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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06251b47881909bd8d2ea37541959 |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f302984819089c6a17dda476a4b |
completed | March 23, 2026, 4:49 p.m. |
Created at: March 22, 2026, 4:20 p.m.