Triple
T33449988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Saxony-Anhalt |
E856608
|
entity |
| Predicate | continentOfEntityRepresented |
P37277
|
FINISHED |
| Object | Europe |
—
|
NE NERFINISHED |
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: Europe | Statement: [Flag of Saxony-Anhalt, continentOfEntityRepresented, Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentOfEntityRepresented Context triple: [Flag of Saxony-Anhalt, continentOfEntityRepresented, Europe]
-
A.
continentOfGovernedEntity
Indicates that a governing entity (such as a country, state, or administrative body) is located on or associated with a particular continent.
-
B.
continentOfSubject
Indicates that the object is the continent on which the subject is located or to which the subject belongs.
-
C.
continentOfLocation
Indicates that one entity is the continent on which the other entity is geographically located.
-
D.
continentType
Indicates that one entity is classified as a specific type or category of continent in relation to another entity.
-
E.
continentOfRepresentation
chosen
Indicates that one entity is the continent in which another entity is represented, based on its primary or official affiliation.
- 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_69f3497281a08190b4705de0b5f26ba7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
Created at: May 1, 2026, 1:37 a.m.