Triple
T4199885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umbrians |
E86039
|
entity |
| Predicate | ethnonym |
P4709
|
FINISHED |
| Object | Umbri |
E35541
|
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: Umbri | Statement: [Umbrians, ethnonym, Umbri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Umbri Context triple: [Umbrians, ethnonym, Umbri]
-
A.
Umbria
chosen
Umbria is a central Italian region known for its historic hill towns, medieval architecture, and rich cultural heritage.
-
B.
Nursia
Nursia is an ancient town in central Italy, historically significant as the birthplace of Saint Benedict and known today as Norcia.
-
C.
Senigallia
Senigallia is a historic coastal town in Italy’s Marche region, known for its Adriatic seaside resort, Renaissance heritage, and well-preserved old town.
-
D.
Marsica
Marsica is a historical region in central Italy, located in the Apennine Mountains of Abruzzo and known for its ancient Italic heritage and the former Lake Fucino basin.
-
E.
Picenum
Picenum was an ancient region on the Adriatic coast of central Italy, inhabited by the Picentes people and later incorporated into the Roman Republic.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0363bbb8819093f396afe91972e2 |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a14eda88190aaca14644c3e041a |
completed | March 14, 2026, 4:17 p.m. |
Created at: March 9, 2026, 3:49 p.m.