Triple
T10631811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Via Aemilia Scauri |
E250474
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Vada Sabatia |
E875229
|
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: Vada Sabatia | Statement: [Via Aemilia Scauri, connects, Vada Sabatia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vada Sabatia Context triple: [Via Aemilia Scauri, connects, Vada Sabatia]
-
A.
Vada Sabatia
chosen
Vada Sabatia was an ancient Roman coastal settlement in Liguria, Italy, that served as a key stop along important imperial roads and maritime routes.
-
B.
Angelica Galante
Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
-
C.
Angelica Galante
Angelica Galante is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
-
D.
Sasha Barrese
Sasha Barrese is an American actress best known for playing Doug’s fiancée Tracy in the comedy film "The Hangover" and its sequels.
-
E.
Rosalie Boca
Rosalie Boca is a central comedic character in the dark comedy film "I Love You to Death," known for her involvement in a chaotic murder plot against her unfaithful husband.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df94dc1c8190b6347eaf35a5acc2 |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a3e0e1481909c277be4c12b46ea |
completed | April 10, 2026, 10:31 p.m. |
Created at: April 8, 2026, 9:01 p.m.