Triple
T19124754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosenwald schools program |
E468146
|
entity |
| Predicate | numberOfSchoolsBuilt |
P55803
|
FINISHED |
| Object | more than 5000 |
—
|
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: more than 5000 | Statement: [Rosenwald schools program, numberOfSchoolsBuilt, more than 5000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSchoolsBuilt Context triple: [Rosenwald schools program, numberOfSchoolsBuilt, more than 5000]
-
A.
hasNumberOfSchools
chosen
Indicates the quantity of schools associated with a given entity.
-
B.
numberOfBuildings
Indicates the total count of buildings associated with a given entity or within a specified context.
-
C.
nationalSchool
Indicates that a school is designated, administered, or officially recognized at the national (country-wide) level rather than local or regional.
-
D.
numberOfCampuses
Indicates the total count of campuses associated with a given entity.
-
E.
numberOfNewTraditionalStyleBuildings
Indicates the count of newly constructed buildings that follow a traditional architectural style.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3cb9d6c81908a8706c1f33a6378 |
completed | April 20, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b085288190b974d649e12e0844 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:05 p.m.