Triple
T22860929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moldavia |
E566917
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object | Igor Dodon |
—
|
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: Igor Dodon | Statement: [Moldavia, hasEthnicGroup, Igor Dodon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Igor Dodon Context triple: [Moldavia, hasEthnicGroup, Igor Dodon]
-
A.
Igor Dodon
chosen
Igor Dodon is a Moldovan politician who served as the country’s president from 2016 to 2020 and is known for his pro-Russian stance.
-
B.
George Gelnovatch
George Gelnovatch is an American soccer coach best known for leading the University of Virginia men's soccer program to multiple NCAA tournament successes and national prominence.
-
C.
Mihai Calin
Mihai Călin is a Romanian actor known for his work in film, television, and theater.
-
D.
Klaus Iohannis
Klaus Iohannis is a Romanian politician and former physics teacher who has served as the President of Romania since 2014.
-
E.
Nicolae Timofti
Nicolae Timofti is a Moldovan jurist and politician who served as the country's president from 2012 to 2016.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17efcc1308190a95d10e431295ca2 |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:37 p.m.