Triple
T4943786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aeneas |
E110997
|
entity |
| Predicate | founds |
P56587
|
FINISHED |
| Object | Lavinium |
E200487
|
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: Lavinium | Statement: [Aeneas, founds, Lavinium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lavinium Context triple: [Aeneas, founds, Lavinium]
-
A.
Lavinium
chosen
Lavinium was an ancient coastal city of Latium in central Italy, traditionally associated with the legendary landing of Aeneas and the early origins of Roman religious cults.
-
B.
Lanuvium
Lanuvium was an ancient Latin city in central Italy, noted for its important sanctuary of Juno Sospita and its later incorporation into the Roman state.
-
C.
Anicium
Anicium is the historical Latin name of the French town now known as Le Puy-en-Velay.
-
D.
Laurentum
Laurentum was an ancient coastal city in Latium, traditionally associated with the legendary king Latinus and early Roman mythic history.
-
E.
Cisterna di Latina
Cisterna di Latina is a town and comune in the Lazio region of central Italy, known for its agricultural production and proximity to the Pontine Marshes.
- 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70a7650c8190b046b65072fd8eae |
completed | March 20, 2026, 4:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77c421288190bcc2d9bfdfff7198 |
completed | March 21, 2026, 10:49 a.m. |
Created at: March 20, 2026, 1:31 p.m.