Triple
T13289586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Motors GMT platform family |
E316532
|
entity |
| Predicate | notableVariant |
P4680
|
FINISHED |
| Object | GMTT1XX |
E7700
|
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: GMTT1XX | Statement: [General Motors GMT platform family, notableVariant, GMTT1XX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GMTT1XX Context triple: [General Motors GMT platform family, notableVariant, GMTT1XX]
-
A.
GMTT
GMTT is the ICAO airport code for Tangier Ibn Battouta Airport in Tangier, Morocco.
-
B.
GMT T1XX
chosen
GMT T1XX is General Motors' full-size truck and SUV platform underpinning the latest generation of vehicles like the Chevrolet Silverado.
-
C.
GMRTC
GMRTC is the abbreviated name for the Gwangju Metropolitan Rapid Transit Corporation, the operator of the urban rail system in Gwangju, South Korea.
-
D.
GMT400
GMT400 is General Motors’ full-size pickup and SUV platform produced from the late 1980s through the 1990s, underpinning vehicles like the Chevrolet C/K and GMC Sierra.
-
E.
GBTT
GBTT is the historic radio call sign assigned to the British ocean liner RMS Queen Mary.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99076aeec8190b0cb883ab60d3f6b |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716d4a6f48190a2020e11e887be2e |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:27 p.m.