Triple
T15737561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janosz Poha |
E381511
|
entity |
| Predicate | nationalityHint |
P106210
|
FINISHED |
| Object | Eastern European (implied) |
—
|
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: Eastern European (implied) | Statement: [Janosz Poha, nationalityHint, Eastern European (implied)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalityHint Context triple: [Janosz Poha, nationalityHint, Eastern European (implied)]
-
A.
nationalityInText
Indicates that a person's nationality is mentioned or specified within a given text.
-
B.
userNationality
Indicates that a user has a specific national affiliation or citizenship.
-
C.
nationalityInferredFromSetting
chosen
Indicates that an entity’s nationality is deduced indirectly from contextual clues about its location or setting rather than stated explicitly.
-
D.
nativeCountry
Indicates the country in which an entity (typically a person) was born or is originally from.
-
E.
targetNationality
Indicates that one entity has the specified nationality as its intended or designated target.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0052c6208819098165d61d378d13b |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:46 a.m.