Triple
T30840813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Lieutenant of Aberdeenshire |
E785502
|
entity |
| Predicate | traditionallyHoldsRankOf |
P301
|
FINISHED |
| Object | His Majesty’s 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: His Majesty’s Lieutenant | Statement: [Lord Lieutenant of Aberdeenshire, traditionallyHoldsRankOf, His Majesty’s Lieutenant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionallyHoldsRankOf Context triple: [Lord Lieutenant of Aberdeenshire, traditionallyHoldsRankOf, His Majesty’s Lieutenant]
-
A.
typicallyHoldsRank
Indicates that an entity is most commonly or usually associated with holding a particular rank or level in a hierarchy.
-
B.
militaryRankTypicallyHeldBy
Indicates that a given military rank is most commonly or usually held by a particular type or category of person or position.
-
C.
honorRank
Indicates a hierarchical relationship where one entity holds a particular level or position of honor or prestige relative to others.
-
D.
honorificRank
chosen
Indicates that one entity holds a formal title or honorific status in relation to another entity.
-
E.
militaryRankOfPrecedence
Indicates the relative seniority or priority order of a military rank compared to other ranks.
- 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_69f224b73d8c81908129383bfb397c87 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe08d2b2e48190ac7be6d62d4a44a3 |
completed | May 8, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69fe06cd3af08190ae25de0dc0cdd573 |
completed | May 8, 2026, 3:52 p.m. |
Created at: April 29, 2026, 8:45 p.m.