Triple
T6787381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Sequoia |
E155843
|
entity |
| Predicate | hasTrimLevel |
P2393
|
FINISHED |
| Object |
TRD Pro
TRD Pro is an off-road-focused performance trim level offered by Toyota, featuring enhanced suspension, rugged styling, and specialized equipment for improved capability on rough terrain.
|
E619362
|
NE FINISHED |
How this triple was built (4 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: TRD Pro | Statement: [Toyota Sequoia, hasTrimLevel, TRD Pro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TRD Pro Context triple: [Toyota Sequoia, hasTrimLevel, TRD Pro]
-
A.
TRG
TRG is the IATA airport code for Tauranga Airport in Tauranga, New Zealand.
-
B.
TRD Caribe
TRD Caribe is a Cuban retail and commercial company operating a nationwide network of hard-currency and consumer goods stores, controlled by the military-run conglomerate GAESA.
-
C.
Tronic
Tronic is a critically acclaimed studio album by Detroit rapper and producer Black Milk, known for its futuristic production and intricate lyricism.
-
D.
TR-25
TR-25 is the statistical and administrative region code assigned to Turkey’s Erzurum Province.
-
E.
RTR
RTR is a Swiss public broadcasting division that produces and distributes radio, television, and online content in the Romansh language.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TRD Pro Triple: [Toyota Sequoia, hasTrimLevel, TRD Pro]
Generated description
TRD Pro is an off-road-focused performance trim level offered by Toyota, featuring enhanced suspension, rugged styling, and specialized equipment for improved capability on rough terrain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TRD Pro Target entity description: TRD Pro is an off-road-focused performance trim level offered by Toyota, featuring enhanced suspension, rugged styling, and specialized equipment for improved capability on rough terrain.
-
A.
TRG
TRG is the IATA airport code for Tauranga Airport in Tauranga, New Zealand.
-
B.
TRD Caribe
TRD Caribe is a Cuban retail and commercial company operating a nationwide network of hard-currency and consumer goods stores, controlled by the military-run conglomerate GAESA.
-
C.
Tronic
Tronic is a critically acclaimed studio album by Detroit rapper and producer Black Milk, known for its futuristic production and intricate lyricism.
-
D.
TR-25
TR-25 is the statistical and administrative region code assigned to Turkey’s Erzurum Province.
-
E.
RTR
RTR is a Swiss public broadcasting division that produces and distributes radio, television, and online content in the Romansh language.
- F. None of above. chosen
Provenance (5 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2907d0081908291aad66048b8b1 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a871a84819098891f66c6e5b579 |
completed | March 28, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69c71b6b87d8819085e6ae122f042626 |
completed | March 28, 2026, 12:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71c00f86c819099ef6ae0766e9f3a |
completed | March 28, 2026, 12:08 a.m. |
Created at: March 27, 2026, 2:14 p.m.