Triple
T19242730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mezentius |
E481171
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Etruria |
—
|
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: Etruria | Statement: [Mezentius, associatedWith, Etruria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Etruria Context triple: [Mezentius, associatedWith, Etruria]
-
A.
Etruria
chosen
Etruria was an ancient region of central Italy inhabited by the Etruscans, a pre-Roman civilization renowned for its distinctive art, architecture, and cultural influence on early Rome.
-
B.
Latium
Latium was an ancient region of central western Italy, encompassing Rome and its surroundings, that gave rise to the Latin people and language.
-
C.
Nursia
Nursia is an ancient town in central Italy, historically significant as the birthplace of Saint Benedict and known today as Norcia.
-
D.
Albia
Albia is a small city in Monroe County, Iowa, serving as a local hub for the surrounding rural area in the south-central part of the state.
-
E.
Lucchesia
Lucchesia is a historical region in northern Tuscany, Italy, centered around the city of Lucca and known for its rolling hills, medieval towns, and rich cultural heritage.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faf2353c819094a9a1af3a858715 |
completed | April 20, 2026, 10:07 a.m. |
Created at: April 10, 2026, 1:27 p.m.