Triple
T7000750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Walentynowicz |
E162330
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Równe |
E555755
|
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: Równe | Statement: [Anna Walentynowicz, placeOfBirth, Równe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Równe Context triple: [Anna Walentynowicz, placeOfBirth, Równe]
-
A.
Równe
Równe is a town in western Poland that serves as a twin town to Głogów.
-
B.
Rowno
chosen
Rowno (now commonly known as Rivne) is a city in western Ukraine that historically served as an important regional administrative center.
-
C.
Sylko
Sylko is a brand of sewing and embroidery threads historically associated with the textile company J. & P. Coats.
-
D.
Łuck
Łuck is the Polish name for Lutsk, a historic city in western Ukraine known for its medieval castle and role as a regional cultural center.
-
E.
Oszmiana
Oszmiana is a historic town in present-day Belarus that was once an important local center within the former Polish–Lithuanian Commonwealth.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc0f8830819091f4356296234713 |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a310eb08190a0fc1de2814aea08 |
completed | March 28, 2026, 5:42 a.m. |
Created at: March 27, 2026, 2:33 p.m.