Triple
T1980649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW X7 |
E43016
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Lexus LX |
E50659
|
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: Lexus LX | Statement: [BMW X7, competitor, Lexus LX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lexus LX Context triple: [BMW X7, competitor, Lexus LX]
-
A.
Lexus LX
chosen
The Lexus LX is a full-size luxury SUV known for its off-road capability, premium features, and close relation to the Toyota Land Cruiser.
-
B.
Toyota Land Cruiser
The Toyota Land Cruiser is a renowned full-size four-wheel-drive SUV celebrated for its durability, off-road capability, and long-standing global reputation for reliability.
-
C.
G-Class
The G-Class is Mercedes-Benz’s iconic luxury off-road SUV, renowned for its boxy design, rugged capability, and high-end performance.
-
D.
Nissan Patrol
The Nissan Patrol is a large, rugged SUV renowned for its off-road capability and long-standing use as a durable 4x4 in markets worldwide.
-
E.
Nissan Armada
The Nissan Armada is a full-size SUV known for its powerful V8 engine, three-row seating, and strong towing capability.
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb7c87bc081908ed179d1ca94fa3b |
completed | March 7, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae032bc30c8190a136a634580571d9 |
completed | March 8, 2026, 11:15 p.m. |
Created at: March 4, 2026, 7:37 p.m.