Triple
T39589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Home Secretary |
E783
|
entity |
| Predicate | hasPrecedenceOver |
P1616
|
FINISHED |
| Object | most other Secretaries of State |
—
|
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: most other Secretaries of State | Statement: [Home Secretary, hasPrecedenceOver, most other Secretaries of State]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrecedenceOver Context triple: [Home Secretary, hasPrecedenceOver, most other Secretaries of State]
-
A.
confersPrecedenceIn
chosen
Indicates that one entity is granted higher priority, rank, or standing over another within a specified context or domain.
-
B.
orderPrecedence
Indicates that one entity must come before another in a defined sequence or priority order.
-
C.
isStrongerThan
Indicates that one entity possesses greater physical power, force, or effectiveness than another entity.
-
D.
predecessor
Indicates that one entity comes before another in an ordered sequence or succession.
-
E.
isComparedTo
Indicates that one entity is evaluated or measured in relation to another to highlight similarities, differences, or relative qualities.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24b80f4a8819090d2bffe29824b90 |
completed | Feb. 28, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69a24ab74c548190a54872e15c8394c3 |
completed | Feb. 28, 2026, 1:53 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.