Triple
T5755843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Best Car in the World |
E126963
|
entity |
| Predicate | usedToDifferentiateFrom |
P6335
|
FINISHED |
| Object | other luxury car manufacturers |
—
|
LITERAL 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: other luxury car manufacturers | Statement: [The Best Car in the World, usedToDifferentiateFrom, other luxury car manufacturers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedToDifferentiateFrom Context triple: [The Best Car in the World, usedToDifferentiateFrom, other luxury car manufacturers]
-
A.
differentiatedFrom
chosen
Indicates that one entity is distinguished or set apart from another by identifying differences between them.
-
B.
categoryDistinguishedFrom
Indicates that one category is explicitly distinguished from another, clarifying that they are separate and should not be confused.
-
C.
distinction
Indicates that one entity is recognized, treated, or classified as different or separate from another.
-
D.
differIn
Indicates that two entities are not the same in at least one specified aspect, attribute, or value.
-
E.
usedInsteadOf
Indicates that one entity is employed or chosen as a substitute or replacement for another entity.
- F. None of above.
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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02906848c8190bf7b0d62f57c27fa |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021cc68648190bb86d049ebe80f12 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:49 p.m.