Triple
T28450543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perm Sec |
E716566
|
entity |
| Predicate | refersToRoleIn |
P4342
|
FINISHED |
| Object | United Kingdom civil service |
—
|
NE NERFINISHED |
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: United Kingdom civil service | Statement: [Perm Sec, refersToRoleIn, United Kingdom civil service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToRoleIn Context triple: [Perm Sec, refersToRoleIn, United Kingdom civil service]
-
A.
refersToRole
chosen
Indicates that one entity designates, mentions, or points to another entity specifically in its capacity as a role or position.
-
B.
reflectsRoleAs
Indicates that one entity expresses, represents, or makes evident the role, function, or position held by another entity.
-
C.
servesRole
Indicates that one entity performs, fulfills, or occupies a particular function, position, or responsibility in relation to another entity.
-
D.
refersToPerson
Indicates that one entity is making reference to, mentioning, or pointing specifically to a particular person.
-
E.
acknowledgesRoleOf
Indicates that one entity explicitly recognizes and accepts the position, function, or authority that another entity holds.
- 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_69efd6b76f8c8190a7ba908aca280942 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 28, 2026, 1:51 a.m.