Triple
T5123121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italo |
E115517
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Ítalo |
E115517
|
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: Ítalo | Statement: [Italo, hasVariant, Ítalo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ítalo Context triple: [Italo, hasVariant, Ítalo]
-
A.
Italo
Italo is a private Italian high-speed train operator known for connecting major cities across Italy with fast, modern rail services.
-
B.
Italo
chosen
Italo is a masculine Italian given name historically borne by notable figures in politics, aviation, literature, and the arts.
-
C.
Włochy
Włochy is a district in the southwestern part of Warsaw, Poland, known for its mix of residential areas, industrial zones, and major transport infrastructure including the city’s main airport.
-
D.
Italy
Italy is a Southern European country known for its influential history, art, cuisine, and role as a founding member of the European Union.
-
E.
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.
- 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_69bd4442ade0819087b9461f892b206b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78045e448190961db0ca7692370e |
completed | March 20, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfd49f648190a81940e7abf7d62a |
completed | March 21, 2026, 5:05 p.m. |
Created at: March 20, 2026, 1:42 p.m.