Triple
T17594519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | War with Louis I of Hungary |
E428532
|
entity |
| Predicate | hasLocation |
P40
|
FINISHED |
| Object | Aversa |
—
|
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: Aversa | Statement: [War with Louis I of Hungary, hasLocation, Aversa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aversa Context triple: [War with Louis I of Hungary, hasLocation, Aversa]
-
A.
Aversa
chosen
Aversa is a historic city in southern Italy’s Campania region, known for its medieval origins and proximity to Naples.
-
B.
Battipaglia
Battipaglia is a town in southern Italy known for its agricultural production—especially buffalo mozzarella—and its role as an industrial and commercial hub in the Province of Salerno.
-
C.
Potenza
Potenza is a historic city in southern Italy that serves as the administrative and cultural center of the Basilicata region.
-
D.
Potenza
Potenza is a river in the Marche region of central Italy that flows through the Province of Macerata before reaching the Adriatic Sea.
-
E.
Caserta
Caserta is a city in southern Italy’s Campania region, best known for its grand 18th-century Royal Palace (Reggia di Caserta), a UNESCO World Heritage Site.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469ea1ac8819083b8449ccdaf2445 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.