Triple
T37770797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schocken department store network |
E941540
|
entity |
| Predicate | ownerUntilExpropriation |
P40048
|
FINISHED |
| Object | Salman Schocken |
—
|
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: Salman Schocken | Statement: [Schocken department store network, ownerUntilExpropriation, Salman Schocken]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownerUntilExpropriation Context triple: [Schocken department store network, ownerUntilExpropriation, Salman Schocken]
-
A.
ownershipSince
Indicates the point in time from which an entity has continuously owned another entity.
-
B.
ultimateOwnerOf
Indicates that one entity is the final, controlling owner of another entity, either directly or through one or more intermediate ownership layers.
-
C.
ownershipEnd
chosen
Indicates the point or event at which an entity’s ownership of another entity ceases or is terminated.
-
D.
ownershipBefore1917
Indicates that one entity owned or possessed another entity at some time prior to the year 1917.
-
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_69f76ee4431881908f87e8892a9f39f3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: May 3, 2026, 4:19 p.m.