Triple
T99073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Lord of the Treasury |
E1998
|
entity |
| Predicate | isOfficeType |
P3103
|
FINISHED |
| Object | political office |
—
|
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: political office | Statement: [First Lord of the Treasury, isOfficeType, political office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOfficeType Context triple: [First Lord of the Treasury, isOfficeType, political office]
-
A.
recognizedAsOfficeSince
Indicates that an entity has been officially designated or acknowledged as an office starting from a specific point in time.
-
B.
office
chosen
Indicates that an entity holds or occupies an official position, role, or post within an organization or institution.
-
C.
affectsOffice
Indicates that one entity has an influence or impact on the condition, function, or status of an office.
-
D.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
-
E.
establishedOffice
Indicates that an entity created or set up an official office or place of operation.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a253b95d4c81909d1f2bc37e799c44 |
completed | Feb. 28, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69a24ebfc5a88190bdd1653b9fa541fe |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.