Triple
T25344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Motors |
E506
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | GMC |
E506
|
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: GMC | Statement: [General Motors, brand, GMC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GMC Context triple: [General Motors, brand, GMC]
-
A.
Hummer
Hummer is a line of large, military-inspired sport utility vehicles known for their rugged off-road capability, boxy design, and high fuel consumption.
-
B.
Chevrolet Silverado
The Chevrolet Silverado is a full-size pickup truck line known for its durability, towing capability, and popularity in the North American truck market.
-
C.
General Motors
chosen
General Motors is a major American multinational automotive manufacturer known for brands such as Chevrolet, GMC, Cadillac, and Buick.
-
D.
Ford Motor Company
Ford Motor Company is a major American automobile manufacturer, founded by Henry Ford, known for pioneering assembly-line mass production and producing iconic vehicles like the Model T and F-Series trucks.
-
E.
Oldsmobile Delmont 88
The Oldsmobile Delmont 88 is a full-size American car produced by Oldsmobile in the late 1960s, known historically for being the model involved in the Chappaquiddick incident.
- 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_69a243b4ac2c8190b93c303df797b7b2 |
completed | Feb. 28, 2026, 1:24 a.m. |
| NER | Named-entity recognition | batch_69a2481f9eac819093d9a950eb1ab109 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2552d92ec8190a523fb8d05b98bb2 |
completed | Feb. 28, 2026, 2:38 a.m. |
Created at: Feb. 28, 2026, 1:34 a.m.