Triple
T31891338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinquième Cru Classé |
E814153
|
entity |
| Predicate | lowerTierThan |
P11456
|
FINISHED |
| Object | Premier Cru Classé |
—
|
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: Premier Cru Classé | Statement: [Cinquième Cru Classé, lowerTierThan, Premier Cru Classé]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowerTierThan Context triple: [Cinquième Cru Classé, lowerTierThan, Premier Cru Classé]
-
A.
hasLowerTier
Indicates that one entity is ranked, valued, or classified at a lower level or tier relative to another entity.
-
B.
lowerTierName
Indicates that one entity is identified as the name or label of a lower or subordinate tier within a hierarchical structure relative to another entity.
-
C.
lowerTierHeight
Indicates the vertical measurement or elevation of the lower tier in a multi-level structure relative to a reference level.
-
D.
lowerTierAlternative
Indicates that one option serves as a lower-tier or less premium alternative to another option within the same category.
-
E.
lowerRank
chosen
Indicates that one entity holds an inferior or subordinate rank, status, or position relative to 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_69f348ef817481908440e2250319bcc8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b158cc5c81909ce5b32c9a97ae72 |
completed | May 3, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:58 p.m.