Triple
T181448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department for Education |
E3884
|
entity |
| Predicate | hasChiefCivilServantTitle |
P3342
|
FINISHED |
| Object | Permanent Secretary |
—
|
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: Permanent Secretary | Statement: [Department for Education, hasChiefCivilServantTitle, Permanent Secretary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChiefCivilServantTitle Context triple: [Department for Education, hasChiefCivilServantTitle, Permanent Secretary]
-
A.
hasChiefExecutiveRole
Indicates that an entity holds the highest executive leadership position and overall managerial authority within an organization.
-
B.
civilianLeaderTitle
Indicates the official title held by a person who serves as the civilian leader of a group, organization, or jurisdiction.
-
C.
officeHolderTitle
chosen
Indicates the official position or title held by a person in an office or role.
-
D.
headOfGovernmentTitle
Indicates the official title held by the person who serves as the head of a government.
-
E.
hasDeputyLeaderTitle
Indicates that an entity holds a specific title associated with the role of deputy leader.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25923507c8190bd7f6eda404b0da0 |
completed | Feb. 28, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69a2566ccc288190add5624ede96d82b |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:40 a.m.