Triple
T13511672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elementary Education Act 1870 |
E322654
|
entity |
| Predicate | allowedCreationOf |
P273
|
FINISHED |
| Object | elected school boards |
—
|
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: elected school boards | Statement: [Elementary Education Act 1870, allowedCreationOf, elected school boards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowedCreationOf Context triple: [Elementary Education Act 1870, allowedCreationOf, elected school boards]
-
A.
supportedCreationOf
Indicates that one entity actively aided, endorsed, or facilitated the bringing into existence or establishment of another entity.
-
B.
allows
chosen
Indicates that one entity grants permission, capability, or opportunity for another entity to perform an action or be in a certain state.
-
C.
hasCreation
Indicates a relationship where one entity is the creator or originator of another entity.
-
D.
allowedReturn
Indicates that an entity is permitted to be returned or sent back under specified conditions or rules.
-
E.
intendedToCreate
Indicates that one entity performed an action or was designed with the purpose or goal of bringing another entity into existence or causing it to come about.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf86a6208190be8c18f7a0158f23 |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae0b63748190b5e207f84b2532ea |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:43 p.m.