Triple
T26753391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English lieutenancy system |
E674601
|
entity |
| Predicate | typicalOfficeholderBackground |
P9583
|
FINISHED |
| Object | local notable |
—
|
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: local notable | Statement: [English lieutenancy system, typicalOfficeholderBackground, local notable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOfficeholderBackground Context triple: [English lieutenancy system, typicalOfficeholderBackground, local notable]
-
A.
officeHolderBackground
Indicates that one entity’s background, such as prior roles, experience, or qualifications, is associated with or characterizes the office holder of another entity.
-
B.
officeHolderTypicallyFrom
Indicates that the person holding a particular office is typically drawn from or originates from a specified group, region, or category.
-
C.
officeHoldersAreUsually
chosen
Indicates that individuals holding a particular office or position are typically or generally characterized by a specified property or role.
-
D.
officeHolderUsually
Indicates that an entity is the person who typically or customarily holds a particular office or position.
-
E.
politicalBackground
Indicates the political history, affiliations, or ideological context associated with an entity.
- 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69ff0214d7348190904688376df99bce |
completed | May 9, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69feffd62fec8190a855922c8b3c57cf |
completed | May 9, 2026, 9:35 a.m. |
Created at: April 27, 2026, 3:54 a.m.