Triple
T19996037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deuxième État |
E494194
|
entity |
| Predicate | typicalMemberTitle |
P1648
|
FINISHED |
| Object | duc |
—
|
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: duc | Statement: [Deuxième État, typicalMemberTitle, duc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMemberTitle Context triple: [Deuxième État, typicalMemberTitle, duc]
-
A.
memberTitle
chosen
Indicates the formal title or designation held by a member within a group, organization, or body.
-
B.
typicalOfficeHolderTitle
Indicates the standard or commonly used title typically held by the office holder of a given position or role.
-
C.
typicalMembers
Indicates that the related entities are representative or characteristic members of a larger group, category, or class.
-
D.
typicalAdditionalRole
Indicates that an entity commonly or characteristically holds an extra role or function in addition to its primary one.
-
E.
typicalRole
Indicates that one entity serves as the usual, characteristic, or commonly expected role or function of 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe3fb288190a935c334e8a5d54e |
completed | April 20, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:32 p.m.