Triple
T31957631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Petit Haut Lafitte |
E815949
|
entity |
| Predicate | ownershipEstate |
P163088
|
FINISHED |
| Object | Cathiard family (via Château Smith Haut Lafitte) |
—
|
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: Cathiard family (via Château Smith Haut Lafitte) | Statement: [Le Petit Haut Lafitte, ownershipEstate, Cathiard family (via Château Smith Haut Lafitte)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownershipEstate Context triple: [Le Petit Haut Lafitte, ownershipEstate, Cathiard family (via Château Smith Haut Lafitte)]
-
A.
estate
Indicates a legal or ownership relationship in which a person or entity holds rights, interests, or control over property or assets.
-
B.
ownershipType
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
-
C.
landTenure
Indicates the type, conditions, or rights under which land is held, used, or owned by an entity.
-
D.
propertyHeld
chosen
Indicates that a particular property is possessed, owned, or controlled by a specified entity.
-
E.
ownedLandBy
Indicates that one entity possesses legal or recognized ownership rights over a piece or area of land associated with 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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: May 1, 2026, 12:08 a.m.