Triple
T8489333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iveco |
E200926
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Iveco S-Way |
E200926
|
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: Iveco S-Way | Statement: [Iveco, brand, Iveco S-Way]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iveco S-Way Context triple: [Iveco, brand, Iveco S-Way]
-
A.
Iveco
chosen
Iveco is an Italian multinational company that designs and manufactures commercial vehicles, military vehicles, and diesel engines.
-
B.
Iveco Daily
The Iveco Daily is a versatile light commercial vehicle widely used in Europe and beyond for cargo transport, passenger shuttles, and specialized conversions such as campervans and emergency service vehicles.
-
C.
Fiat Ducato
The Fiat Ducato is a popular light commercial van produced by Fiat, widely used across Europe for cargo transport, camper conversions, and other utility purposes.
-
D.
Mitsubishi Fuso Canter
The Mitsubishi Fuso Canter is a line of light-duty commercial trucks widely used around the world for urban delivery, construction, and utility transport.
-
E.
Isuzu Elf
The Isuzu Elf is a line of light-duty commercial trucks produced by Japanese manufacturer Isuzu, widely used for urban delivery and utility applications.
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5581d308190b47d76dd49a36529 |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d120f8c819088a1d9b23b621939 |
completed | April 2, 2026, 1:20 p.m. |
Created at: March 30, 2026, 6:13 p.m.