Triple
T315677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GMT T1XX |
E7700
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object | GMT K2XX |
E7699
|
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: GMT K2XX | Statement: [GMT T1XX, predecessor, GMT K2XX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GMT K2XX Context triple: [GMT T1XX, predecessor, GMT K2XX]
-
A.
GMT K2XX
chosen
GMT K2XX is General Motors' full-size truck and SUV platform that underpins vehicles like the Chevrolet Silverado and GMC Sierra.
-
B.
GTS
GTS is an abbreviation commonly used for the Global Telecommunication System, an international network for exchanging meteorological data.
-
C.
GMT T1XX
GMT T1XX is General Motors' full-size truck and SUV platform underpinning the latest generation of vehicles like the Chevrolet Silverado.
-
D.
Kt
Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
-
E.
KMS
KMS is the Dutch abbreviation for the Royal Military Academy in Belgium, the institution responsible for training officers for the Belgian Armed Forces.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea6462148190825acc57f6d2adaf |
completed | Feb. 28, 2026, 1:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3c41c00888190861d2b6d4bfc8904 |
completed | March 1, 2026, 4:44 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.