Triple
T4404137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wexner Foundation |
E93685
|
entity |
| Predicate | hasFocusPopulation |
P56057
|
FINISHED |
| Object | Jews in North America |
—
|
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: Jews in North America | Statement: [Wexner Foundation, hasFocusPopulation, Jews in North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFocusPopulation Context triple: [Wexner Foundation, hasFocusPopulation, Jews in North America]
-
A.
hasPopulationType
Indicates that an entity’s population is classified according to a specific type or category (e.g., demographic, biological, or statistical grouping).
-
B.
hasPopulationStatus
Indicates the current demographic condition or classification of a population associated with an entity.
-
C.
hasNotablePopulation
Indicates that an entity is recognized for having a significant or noteworthy number of inhabitants or members.
-
D.
hasPopulationOver
Indicates that one entity has a population greater than a specified number or than another entity.
-
E.
hasPermanentHumanPopulation
Indicates that an entity consistently hosts a stable, long-term community of human residents rather than only temporary or transient occupants.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b352d1af608190ac06d50433cf24bb |
completed | March 12, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69b34f5b36a881909bf2e970aa523390 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3509997208190933f167f7e20ccfa |
completed | March 12, 2026, 11:47 p.m. |
Created at: March 12, 2026, 11:28 p.m.