Triple
T3505508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Lieutenant |
E74064
|
entity |
| Predicate | modernRoleEmphasis |
P3657
|
FINISHED |
| Object | civic and ceremonial representation |
—
|
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: civic and ceremonial representation | Statement: [Lord Lieutenant, modernRoleEmphasis, civic and ceremonial representation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernRoleEmphasis Context triple: [Lord Lieutenant, modernRoleEmphasis, civic and ceremonial representation]
-
A.
modernUse
chosen
Indicates how something is currently used or applied in modern times.
-
B.
ethnicRole
Indicates a role, function, or social position that is specifically associated with or defined by an entity’s ethnicity.
-
C.
modernInterpretation
Indicates that one entity is a contemporary or updated interpretation, reading, or understanding of another entity.
-
D.
modernRevivalIn
Indicates that something has experienced a renewed or modern resurgence, popularity, or reinterpretation within a specified place, context, or period.
-
E.
modernAccess
Indicates that an entity has contemporary, up-to-date means or methods of accessing or interacting with another entity or resource.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbf38e988190998d722b95830411 |
completed | March 8, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69adae0cd8b0819099da300af09880da |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.