Triple
T1806070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercury Grand Marquis |
E40221
|
entity |
| Predicate | trimLevel |
P11486
|
FINISHED |
| Object | LS |
E154001
|
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: LS | Statement: [Mercury Grand Marquis, trimLevel, LS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LS Context triple: [Mercury Grand Marquis, trimLevel, LS]
-
A.
LS
chosen
LS is a base trim level designation commonly used by Chevrolet for entry-level versions of its vehicles, including the Trailblazer.
-
B.
LS
LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
-
C.
SL
The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
-
D.
SL
SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
-
E.
SL
SL is a German vehicle registration code used on license plates to identify cars registered in the Saalekreis district of Saxony-Anhalt.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa659798b88190bd3070349ce6bebb |
completed | March 6, 2026, 5:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5df20948190943a60c209270b62 |
completed | March 8, 2026, 5:46 p.m. |
Created at: March 4, 2026, 7:32 p.m.