Triple
T31222889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Clémentin de Pape Clément (red) |
E796061
|
entity |
| Predicate | originEstate |
P202546
|
FINISHED |
| Object | Château Pape Clément |
—
|
NE NERFINISHED |
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: Château Pape Clément | Statement: [Le Clémentin de Pape Clément (red), originEstate, Château Pape Clément]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originEstate Context triple: [Le Clémentin de Pape Clément (red), originEstate, Château Pape Clément]
-
A.
originalEstates
Indicates that an entity is associated with or represents the initial or primary estates from which subsequent rights, interests, or derived estates originate.
-
B.
originalEstateName
Indicates the name originally assigned to an estate or property before any subsequent changes or renamings.
-
C.
originalEstateSize
Indicates the total size or extent of an estate in its initial or historically original state.
-
D.
occupiesFormerEstateOf
Indicates that one entity currently resides in, uses, or controls a property that was previously the estate of another entity.
-
E.
heirOfEstate
Indicates that one entity is legally designated to inherit the estate or property of another entity, typically upon that entity’s death.
- 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_69f224da98f88190ab32f690cce5d303 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a008ebb22408190a2293bced40a7e53 |
completed | May 10, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_6a008e8715dc8190ab23292605901bf4 |
completed | May 10, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_6a008eba6de8819083165152448f6071 |
completed | May 10, 2026, 1:57 p.m. |
Created at: April 29, 2026, 9:10 p.m.