Triple
T14761908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ausa River |
E346884
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Ausa (Italian)
Ausa (Italian) is the Italian name for the Ausa River, a watercourse flowing through the Emilia-Romagna region of northern Italy.
|
E1118878
|
NE FINISHED |
How this triple was built (4 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: Ausa (Italian) | Statement: [Ausa River, hasNameInLanguage, Ausa (Italian)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ausa (Italian) Context triple: [Ausa River, hasNameInLanguage, Ausa (Italian)]
-
A.
Asiago
Asiago is a town in Italy’s Veneto region best known for giving its name to the popular semi-soft Asiago cheese and for its scenic plateau setting.
-
B.
Italo
Italo is a masculine Italian given name historically borne by notable figures in politics, aviation, literature, and the arts.
-
C.
Italo
Italo is a private Italian high-speed train operator known for connecting major cities across Italy with fast, modern rail services.
-
D.
Livenza (Italian)
Livenza (Italian) is the Italian name of the Livenza River, a watercourse in northeastern Italy flowing through the regions of Veneto and Friuli Venezia Giulia.
-
E.
Talian
Talian is a Brazilian variety of Venetian-based Italian dialects spoken mainly in southern Brazil, particularly within Italian immigrant communities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ausa (Italian) Triple: [Ausa River, hasNameInLanguage, Ausa (Italian)]
Generated description
Ausa (Italian) is the Italian name for the Ausa River, a watercourse flowing through the Emilia-Romagna region of northern Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ausa (Italian) Target entity description: Ausa (Italian) is the Italian name for the Ausa River, a watercourse flowing through the Emilia-Romagna region of northern Italy.
-
A.
Asiago
Asiago is a town in Italy’s Veneto region best known for giving its name to the popular semi-soft Asiago cheese and for its scenic plateau setting.
-
B.
Italo
Italo is a masculine Italian given name historically borne by notable figures in politics, aviation, literature, and the arts.
-
C.
Italo
Italo is a private Italian high-speed train operator known for connecting major cities across Italy with fast, modern rail services.
-
D.
Livenza (Italian)
Livenza (Italian) is the Italian name of the Livenza River, a watercourse in northeastern Italy flowing through the regions of Veneto and Friuli Venezia Giulia.
-
E.
Talian
Talian is a Brazilian variety of Venetian-based Italian dialects spoken mainly in southern Brazil, particularly within Italian immigrant communities.
- F. None of above. chosen
Provenance (5 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f207dc819088a53f717736a121 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cf24c0081909221cb7d761e882f |
completed | May 8, 2026, 4:18 p.m. |
| NEDg | Description generation | batch_69fe1913f01c8190917992cbcb8f0b62 |
completed | May 8, 2026, 5:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe19c36dcc8190a8b3565d6e9cec04 |
completed | May 8, 2026, 5:13 p.m. |
Created at: April 10, 2026, 1:30 a.m.