Triple
T12591893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Prix GXP |
E300625
|
entity |
| Predicate | hasTrimLevel |
P2393
|
FINISHED |
| Object | GXP |
E275501
|
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: GXP | Statement: [Grand Prix GXP, hasTrimLevel, GXP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GXP Context triple: [Grand Prix GXP, hasTrimLevel, GXP]
-
A.
G2X
G2X is a compact sports car model produced by Daewoo (also known as the Daewoo G2X), recognized for its sleek design and performance-oriented features.
-
B.
G6 GXP
chosen
The G6 GXP is a high-performance, sport-oriented variant of the Pontiac G6 midsize car, featuring more powerful engines and aggressive styling.
-
C.
GXF
GXF is an open source LF Energy project that provides a scalable, secure platform for managing and integrating smart grid and energy devices.
-
D.
VXP
VXP is the ICAO airline designator assigned to Avelo Airlines, a U.S.-based low-cost carrier.
-
E.
GhostXPS
GhostXPS is a Ghostscript-related interpreter and rendering engine for Microsoft’s XML Paper Specification (XPS) document format.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954cc6d3c81908fbb22601c46f3f7 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ec2dac88190bf31bb00f93feb30 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 9, 2026, 5:07 p.m.