Triple
T11390942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AMC Classic |
E269832
|
entity |
| Predicate | brandTierWithinAMC |
P93352
|
FINISHED |
| Object | economy tier |
—
|
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: economy tier | Statement: [AMC Classic, brandTierWithinAMC, economy tier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandTierWithinAMC Context triple: [AMC Classic, brandTierWithinAMC, economy tier]
-
A.
brandLevel
chosen
Indicates the hierarchical rank or tier of a brand within a defined brand structure or classification system.
-
B.
rankTier
Indicates the classification level or tier assigned to an entity within a ranking or hierarchical system.
-
C.
brandingLevel
Indicates the degree or intensity of branding applied or associated with an entity (e.g., product, service, or organization).
-
D.
hasBrandType
Indicates that an entity is associated with or categorized under a particular brand type or classification.
-
E.
competitiveBrandName
Indicates that one brand name is in a competitive relationship with another brand name in the same market or product space.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e70b228c8190b87f5101fd683788 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:34 p.m.