Triple
T16562907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volhynia massacres |
E402383
|
entity |
| Predicate | victimEthnicity |
P10927
|
FINISHED |
| Object | Poles |
E1509
|
NE 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: Poles | Statement: [Volhynia massacres, victimEthnicity, Poles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poles Context triple: [Volhynia massacres, victimEthnicity, Poles]
-
A.
Poles
chosen
Poles are the ethnic and national group native to Poland, many of whom suffered persecution and mass murder under Nazi occupation during the Holocaust.
-
B.
Polón
Polón is a Finnish surname most notably associated with Eduard Polón, an industrialist and co-founder of the company that became part of Nokia.
-
C.
Wallachians
Wallachians are a historical Romance-speaking population of the Balkans, primarily associated with the ancestors of modern Romanians and related Vlach groups.
-
D.
Filipów
Filipów is a small town in northeastern Poland, known for its picturesque lakes and rural landscapes.
-
E.
Franuś
Franuś is a Polish diminutive form of the male given name Franciszek, used as an affectionate or familiar nickname.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576f757881909bfc6611361ed16d |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006edfe7f08190857fc6f66f3be9a0 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:15 a.m.