Triple
T31127924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ROU |
E793409
|
entity |
| Predicate | denotesNationality |
P26326
|
FINISHED |
| Object | Romanian |
—
|
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: Romanian | Statement: [ROU, denotesNationality, Romanian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: denotesNationality Context triple: [ROU, denotesNationality, Romanian]
-
A.
describesNationality
chosen
Indicates that one entity specifies the national identity or citizenship associated with another entity.
-
B.
denotesCitizensOf
Indicates that a subject entity specifies or lists the people or groups who hold citizenship of a particular place or political entity.
-
C.
nationalityOfPersonReferredTo
Indicates that one entity is the country or nationality associated with the person referenced by the other entity.
-
D.
designationCountry
Indicates the country that officially assigns or confers a particular status, title, or designation on an entity.
-
E.
nationalityInText
Indicates that a person's nationality is mentioned or specified within a given text.
- 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_69f224d1701c819094f429798290e361 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6abaa1f648190b77073771df3bf3b |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 29, 2026, 9:05 p.m.