Triple
T5412592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorenzo Valla |
E121046
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Valla |
E121046
|
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: Valla | Statement: [Lorenzo Valla, familyName, Valla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valla Context triple: [Lorenzo Valla, familyName, Valla]
-
A.
Valla
chosen
Valla is an Italian surname most famously associated with Renaissance humanist and philologist Lorenzo Valla.
-
B.
Vallettan
Vallettan is the demonym for a resident or native of Valletta, the capital city of Malta.
-
C.
Veroia
Veroia is a historic city in northern Greece, known for its Byzantine churches, Ottoman-era architecture, and proximity to the ancient Macedonian site of Vergina.
-
D.
Veroli
Veroli is a historic hill town in central Italy’s Lazio region, known for its medieval architecture and ancient roots dating back to the Hernici people.
-
E.
Martos
Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
- 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_69bd463a41cc8190b32ff5af2b96ca93 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87bb3c0c81908711784bc865ff03 |
completed | March 20, 2026, 5:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf33a22e188190861459f74c3f615a |
completed | March 22, 2026, 12:11 a.m. |
Created at: March 20, 2026, 2:05 p.m.