Triple
T31891294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premier Cru Classé (First Growth) |
E814152
|
entity |
| Predicate | rankInClassification |
P152574
|
FINISHED |
| Object | highest rank |
—
|
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: highest rank | Statement: [Premier Cru Classé (First Growth), rankInClassification, highest rank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInClassification Context triple: [Premier Cru Classé (First Growth), rankInClassification, highest rank]
-
A.
rankIn
chosen
Indicates the relative position or level an entity holds within an ordered set, hierarchy, or competitive context.
-
B.
classRank
Indicates the relative academic standing or position of an entity within a class or cohort based on performance or criteria.
-
C.
rankGrade
Indicates the grade or level assigned to an entity within a ranking or evaluation system.
-
D.
rankInformation
Indicates that information is being ordered or prioritized according to some ranking criteria or relevance.
-
E.
rankStatus
Indicates the hierarchical level or position an entity holds within an ordered ranking or status system.
- 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_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
Created at: April 30, 2026, 11:58 p.m.