Triple
T4045984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Land Cruiser |
E84066
|
entity |
| Predicate | hasGeneration |
P455
|
FINISHED |
| Object | J80 |
E250083
|
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: J80 | Statement: [Toyota Land Cruiser, hasGeneration, J80]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J80 Context triple: [Toyota Land Cruiser, hasGeneration, J80]
-
A.
J80
chosen
J80 is the internal chassis code used by Toyota for the 80-series Land Cruiser platform that underpins the first-generation Lexus LX luxury SUV.
-
B.
J7
J7 is a numbered junction on the M60 motorway in Greater Manchester, England, serving as an access point between the motorway and the surrounding local road network.
-
C.
J100
J100 is the internal model code used by Lexus to designate the second generation of its full-size luxury SUV, the Lexus LX.
-
D.
J-4
J-4 is the logistics directorate within a joint military staff responsible for planning, coordinating, and overseeing logistics and sustainment operations.
-
E.
JR-O08
JR-O08 is the station code assigned to Kyobashi Station on the JR West Osaka Loop Line in Osaka, Japan.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb6135b481909d2be890a2140ff9 |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b55652228c8190a9f301676deb0055 |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:37 p.m.