Triple
T14229253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asculum |
E352707
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Picenum region |
E70891
|
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: Picenum region | Statement: [Asculum, partOf, Picenum region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Picenum region Context triple: [Asculum, partOf, Picenum region]
-
A.
Picenum
chosen
Picenum was an ancient region on the Adriatic coast of central Italy, inhabited by the Picentes people and later incorporated into the Roman Republic.
-
B.
South Picene
South Picene is an extinct ancient Italic language once spoken in central Italy and known primarily from a small corpus of archaic inscriptions.
-
C.
D’Abruzzo
D’Abruzzo is an Italian surname associated with actor Robert Alda, reflecting his family’s Abruzzese heritage.
-
D.
Lunigiana
Lunigiana is a historical region in northwestern Italy, spanning parts of Tuscany and Liguria, known for its medieval castles, hilltop villages, and rugged Apennine landscapes.
-
E.
Umbrian plain
The Umbrian plain is a broad, fertile valley in central Italy known for its rolling fields, historic hill towns, and characteristic landscapes of the Umbria region.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de622b89fc8190af08dab9e1976759 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bb5a64c81908cb8c50bbfa239a4 |
completed | May 8, 2026, 3:42 a.m. |
Created at: April 10, 2026, 1:07 a.m.