Triple
T13511711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Education Act 1918 |
E322655
|
entity |
| Predicate | officeOfIntroducer |
P110050
|
FINISHED |
| Object | President of the Board of Education |
—
|
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: President of the Board of Education | Statement: [Education Act 1918, officeOfIntroducer, President of the Board of Education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeOfIntroducer Context triple: [Education Act 1918, officeOfIntroducer, President of the Board of Education]
-
A.
introducedOrganization
Indicates that one entity caused or facilitated the first formal appearance or presentation of an organization to another context, audience, or system.
-
B.
introducedByOrganization
Indicates that an entity was brought into existence, presented, or launched by a specific organization.
-
C.
affiliateOfType
Indicates that an affiliate entity belongs to, or is categorized under, a specific type or classification.
-
D.
officeredBy
Indicates that a person or group serves as the officers or commanding staff responsible for leading, managing, or administering another entity (such as an organization, unit, or vessel).
-
E.
oftenIntroducedBy
Indicates that one entity is frequently presented, mentioned, or brought into context by another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69dbaee128d88190b097be17fdd2f92b |
completed | April 12, 2026, 2:40 p.m. |
Created at: April 9, 2026, 9:43 p.m.