Triple
T3957498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sassarese |
E85816
|
entity |
| Predicate | hasRegion |
P285
|
FINISHED |
| Object | Logudoro |
E106207
|
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: Logudoro | Statement: [Sassarese, hasRegion, Logudoro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Logudoro Context triple: [Sassarese, hasRegion, Logudoro]
-
A.
Logudoro
chosen
Logudoro is a historical-cultural region in northern Sardinia known for its distinctive Sardinian dialect, medieval heritage, and rural landscapes.
-
B.
Veroli
Veroli is a historic hill town in central Italy’s Lazio region, known for its medieval architecture and ancient roots dating back to the Hernici people.
-
C.
Penedono
Penedono is a small Portuguese municipality in the Viseu district, known for its medieval castle and location within the Douro wine region.
-
D.
Priola
Priola is a small locality in northeastern Italy situated close to the famous Monte Zoncolan in the Carnic Alps.
-
E.
Gilga
Gilga is a production company known for its work on the television series "Swarm."
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef95bbb9c8190bd64c5b7ea2f341a |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b53fff53b88190a268c90889f7b5b6 |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:31 p.m.