Triple
T7010081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dodge Hornet |
E162557
|
entity |
| Predicate | trimLevel |
P11486
|
FINISHED |
| Object | GT |
E202186
|
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: GT | Statement: [Dodge Hornet, trimLevel, GT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GT Context triple: [Dodge Hornet, trimLevel, GT]
-
A.
GT
GT is a leading public research university in Atlanta, Georgia, renowned for its strong engineering, computing, and technology programs.
-
B.
GT
chosen
GT is a performance-oriented trim level commonly associated with sportier styling and enhanced powertrain features on vehicles like the Mercury Cougar.
-
C.
GT
GT is the ISO 3166-1 alpha-2 country code for Guatemala, a Central American nation known for its Mayan heritage and diverse landscapes.
-
D.
GT
GT is the stock ticker symbol for The Goodyear Tire & Rubber Company, a major American manufacturer of tires and rubber products.
-
E.
GD
GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
- 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_69c6885928148190ae31909fbb5e9849 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc3917c481909a288c3e56630c48 |
completed | March 27, 2026, 7:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a47aa6481908ac0039b2b728edb |
completed | March 28, 2026, 5:42 a.m. |
Created at: March 27, 2026, 2:34 p.m.