Triple
T10543083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isuzu Elf |
E248744
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Isuzu NPR |
E872243
|
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: Isuzu NPR | Statement: [Isuzu Elf, alsoKnownAs, Isuzu NPR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isuzu NPR Context triple: [Isuzu Elf, alsoKnownAs, Isuzu NPR]
-
A.
Isuzu N-Series
chosen
The Isuzu N-Series is a line of light-duty commercial trucks produced by Isuzu, widely used around the world for urban delivery and utility applications.
-
B.
Isuzu Panther
The Isuzu Panther is a multi-purpose vehicle (MPV) produced by Isuzu, popular in Southeast Asia for its durability, utility, and use as a family and commercial transport.
-
C.
Isuzu Piazza
The Isuzu Piazza is a stylish compact sports coupe from the 1980s, best known for its sharp, futuristic design by famed Italian automotive designer Giorgetto Giugiaro.
-
D.
Isuzu MU-7
The Isuzu MU-7 is a mid-size, body-on-frame SUV produced by Isuzu, primarily for Asian markets, known for its rugged construction and seven-seat configuration.
-
E.
Isuzu
Isuzu is a Japanese automotive manufacturer best known for producing commercial vehicles, pickup trucks, and diesel engines for global markets.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5190f46d08190a92b1191881ffb92 |
completed | April 7, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a10f17081909fd9465cf35685a1 |
completed | April 10, 2026, 10:30 p.m. |
Created at: April 6, 2026, 12:32 p.m.