Triple
T3484588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torino Porta Nuova |
E73576
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object | Italo |
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: Italo | Statement: [Torino Porta Nuova, operatedBy, Italo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Italo Context triple: [Torino Porta Nuova, operatedBy, Italo]
-
A.
Italo
chosen
Italo is a masculine Italian given name historically borne by notable figures in politics, aviation, literature, and the arts.
-
B.
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.
-
C.
Italy
Italy is a Southern European country known for its influential history, art, cuisine, and role as a founding member of the European Union.
-
D.
Emilian-Romagnol
Emilian-Romagnol is a Romance language variety spoken primarily in Italy’s Emilia-Romagna region, known for its distinct phonology and vocabulary compared to standard Italian.
-
E.
Bell’Italia
Bell’Italia is a themed miniature recreation of iconic Italian landscapes and cities located within the Ferrari World Abu Dhabi theme park.
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb795db88190805b26d9774fdb73 |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b36820c90c819091b68cff7a0a2cda |
completed | March 13, 2026, 1:28 a.m. |
Created at: March 8, 2026, 3:17 p.m.