Triple
T4527229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logudoro |
E106207
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Aglientu |
E423869
|
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: Aglientu | Statement: [Logudoro, contains, Aglientu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aglientu Context triple: [Logudoro, contains, Aglientu]
-
A.
Aglientu
chosen
Aglientu is a small coastal town and comune in the Gallura region of northern Sardinia, Italy, known for its scenic beaches and rural landscapes.
-
B.
Faventia
Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
-
C.
Avisio
Avisio is a river in northern Italy that flows through the Trentino region before joining the Adige.
-
D.
Egencia
Egencia is a corporate travel management company that provides technology-driven solutions for booking and managing business travel worldwide.
-
E.
Zenta
Zenta is a historic town in northern Serbia, best known as the site of a decisive 1697 battle between the Habsburg Monarchy and the Ottoman Empire.
- 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd577737848190ad509c8bb8e57ec0 |
completed | March 20, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bda4577d0c8190a88cdf4523446329 |
completed | March 20, 2026, 7:47 p.m. |
Created at: March 20, 2026, 1:03 p.m.