Triple
T3980501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greek royal family |
E85743
|
entity |
| Predicate | currentLegalStatusInGreece |
P2250
|
FINISHED |
| Object | no official royal status |
—
|
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: no official royal status | Statement: [Greek royal family, currentLegalStatusInGreece, no official royal status]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentLegalStatusInGreece Context triple: [Greek royal family, currentLegalStatusInGreece, no official royal status]
-
A.
rankByAreaInGreece
Indicates the relative ordering of entities based on their area size within the geographic boundaries of Greece.
-
B.
legalStatusAccordingToUkraine
Indicates the legal status or classification of an entity as defined specifically by the laws and regulations of Ukraine.
-
C.
hasNameInGreek
Indicates that an entity is associated with a specific representation of its name in the Greek language.
-
D.
typeOfGreek
Indicates that one entity is a specific kind or category of Greek associated with the other entity.
-
E.
hasLegalStatus
chosen
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa3ef7ac8190abe02f440ff83c43 |
completed | March 9, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69aef8f492ac819089dbb9436dbcdd2b |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:33 p.m.