Triple
T791117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nissan Titan |
E16915
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Nissan Titan XD |
E16915
|
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: Nissan Titan XD | Statement: [Nissan Titan, hasVariant, Nissan Titan XD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nissan Titan XD Context triple: [Nissan Titan, hasVariant, Nissan Titan XD]
-
A.
Nissan Titan
chosen
The Nissan Titan is a full-size pickup truck produced by Nissan, designed primarily for the North American market and known for its powerful V8 engines and work-focused capability.
-
B.
Toyota Tundra
The Toyota Tundra is a full-size pickup truck known for its durability, strong towing capability, and Toyota’s reputation for reliability.
-
C.
GMC Sierra
The GMC Sierra is a full-size pickup truck known for its powerful performance, upscale features, and role as one of General Motors’ flagship trucks.
-
D.
Chevrolet Avalanche
The Chevrolet Avalanche is a full-size pickup truck known for its distinctive midgate design that allows the cargo bed and cabin to be reconfigured for added versatility.
-
E.
GMC Savana
The GMC Savana is a full-size van produced by General Motors, commonly used for cargo transport, passenger shuttling, and commercial fleet 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a79754988190ab494b1c54d6a2a4 |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d7fba6c819097d8e2d962d0241f |
completed | March 3, 2026, 11:23 p.m. |
Created at: March 1, 2026, 7:38 p.m.