Triple
T5521702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arezzo |
E144823
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object | Arretium |
E427757
|
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: Arretium | Statement: [Arezzo, historicalName, Arretium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arretium Context triple: [Arezzo, historicalName, Arretium]
-
A.
Arretium
chosen
Arretium was a major Etruscan and later Roman city in central Italy, renowned for its strategic location and production of fine pottery (Arretine ware).
-
B.
Italica
Italica was an ancient Roman city in Hispania (near modern Seville, Spain), notable as the birthplace of emperors Trajan and Hadrian.
-
C.
Olbia
Olbia is a coastal city in northeastern Sardinia, Italy, known as a major port and tourist gateway to the Costa Smeralda.
-
D.
Maenza
Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
-
E.
Arpinum
Arpinum is an ancient Italian town in Latium best known as the birthplace of the Roman statesman and orator Cicero.
- 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f7227a8819080c9f074afe0eaac |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027ee724c819086b92ea127961e09 |
completed | March 22, 2026, 5:33 p.m. |
Created at: March 22, 2026, 3:33 p.m.