Triple
T3027447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidential Standard of Greece |
E82810
|
entity |
| Predicate | officeTypeRepresented |
P5164
|
FINISHED |
| Object | presidency |
—
|
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: presidency | Statement: [Presidential Standard of Greece, officeTypeRepresented, presidency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeTypeRepresented Context triple: [Presidential Standard of Greece, officeTypeRepresented, presidency]
-
A.
hasOfficeType
chosen
Indicates that an entity’s office is classified as a specific type or category of office.
-
B.
sectorRepresented
Indicates that an entity serves as a representative or proxy for a particular sector (such as an industry, domain, or market segment).
-
C.
officeTypeChange
Indicates a change in the designated type or classification of an office from one category to another.
-
D.
organizationType
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
E.
designationType
Indicates the specific category or kind of formal status, title, or label that has been assigned in a designation relationship.
- 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_69ad8b21a62881908ec5dd4fba4a187c |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9abea8f4819090554d7319778170 |
completed | March 8, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69ad961c430c8190ac48f2e3c7e7c649 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.