Triple
T8660246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Lieutenant of Northamptonshire |
E205528
|
entity |
| Predicate | hasAssociatedInsignia |
P1617
|
FINISHED |
| Object | badge of office of the Lord Lieutenant |
—
|
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: badge of office of the Lord Lieutenant | Statement: [Lord Lieutenant of Northamptonshire, hasAssociatedInsignia, badge of office of the Lord Lieutenant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociatedInsignia Context triple: [Lord Lieutenant of Northamptonshire, hasAssociatedInsignia, badge of office of the Lord Lieutenant]
-
A.
hasTypeOfInsignia
chosen
Indicates that an entity bears or is associated with a specific kind or category of insignia.
-
B.
hasInsigniaWornBy
Indicates that a particular insignia is worn by a specified entity (such as a person, group, or organization).
-
C.
hasEmblemColor
Indicates that an emblem possesses or is characterized by a specific color.
-
D.
rankInsigniaWornOn
Indicates the physical location on a uniform or body where a rank insignia is displayed or attached.
-
E.
protectiveEmblemName
Indicates that a given name is the designated title or label of a protective emblem associated with an entity or context.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48701c748190a5f7bd9e2da0e5e9 |
completed | March 31, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69cc4564e018819081036722f3e42a71 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:30 p.m.