Triple
T16408574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acura TLX |
E398497
|
entity |
| Predicate | trimLevel |
P11486
|
FINISHED |
| Object | Type S |
E392665
|
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: Type S | Statement: [Acura TLX, trimLevel, Type S]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Type S Context triple: [Acura TLX, trimLevel, Type S]
-
A.
Type S
chosen
Type S is Acura’s high-performance trim line, denoting sportier, more powerful versions of its standard models.
-
B.
S-Type
S-Type is a Scottish hip-hop and electronic music producer known for his work with the LuckyMe collective and his synth-driven, cinematic beat style.
-
C.
Series S
Series S is a set of ITU-T telecommunications standards focused on telegraph and related terminal equipment specifications.
-
D.
S5
S5 is the symmetric group on five elements, a fundamental non-abelian finite group that plays a key role in permutation group theory and Galois theory.
-
E.
S5
S5 is a line of the Berlin S-Bahn rapid transit network serving routes between central Berlin and its eastern suburbs.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32870e44c8190aae7bc6e6022ceb7 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c64a05c8190a59e800ce2318052 |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:09 a.m.