Triple
T9976970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yurii Khmelnytsky |
E196355
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Chyhyryn |
E191040
|
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: Chyhyryn | Statement: [Yurii Khmelnytsky, placeOfBirth, Chyhyryn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chyhyryn Context triple: [Yurii Khmelnytsky, placeOfBirth, Chyhyryn]
-
A.
Chyhyryn
chosen
Chyhyryn is a historic Ukrainian town that served as an early political and military center of the Cossack state in the 17th century.
-
B.
Nemyriv
Nemyriv is a historic town in central Ukraine known for its Jewish heritage and role as a regional cultural and economic center.
-
C.
Ygerna
Ygerna is an alternate name for Igraine, the mother of King Arthur in Arthurian legend.
-
D.
Courchavon
Courchavon is a small municipality in the Ajoie region of the canton of Jura in northwestern Switzerland.
-
E.
Sassoun
Sassoun is a mountainous region in historic Western Armenia, famed in Armenian folklore as the homeland of the legendary heroes of the national epic.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb84d0d3c8190b268582bb79c8973 |
completed | April 2, 2026, 12:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23de601f0819096004bf60ffa2d2c |
completed | April 5, 2026, 10:48 a.m. |
Created at: March 30, 2026, 8:48 p.m.