Triple
T31704039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deuxième Cru Classé |
E809132
|
entity |
| Predicate | hasRankNumber |
P185661
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Deuxième Cru Classé, hasRankNumber, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRankNumber Context triple: [Deuxième Cru Classé, hasRankNumber, 2]
-
A.
hasRanks
Indicates that one entity possesses, is assigned, or is associated with one or more rank levels or hierarchical positions.
-
B.
containsRank
Indicates that one entity includes or encompasses another entity that has a specific rank or hierarchical level within it.
-
C.
hasRankOrder
Indicates that one entity is ordered or positioned relative to others according to a specific ranking or sequence.
-
D.
hasRankCategory
Indicates that an entity is assigned to a particular rank-based classification or level within an ordered hierarchy.
-
E.
isRanked
Indicates that an entity has been assigned a position or level within an ordered hierarchy or comparative list.
- F. None of above. chosen
Provenance (4 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_69f348de914081909fc8edff56f34dbe |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7c33d59808190b647989a093f3488 |
completed | May 3, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c29cf36481908e472d4dcb5573b9 |
completed | May 3, 2026, 9:48 p.m. |
Created at: April 30, 2026, 11:13 p.m.