Triple
T1500939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District of Galicia |
E29793
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Ternopil |
E142410
|
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: Ternopil | Statement: [District of Galicia, containsCity, Ternopil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ternopil Context triple: [District of Galicia, containsCity, Ternopil]
-
A.
Ternopil
chosen
Ternopil is a city in western Ukraine known as a regional cultural and economic center with a historic old town and a picturesque lakeside setting.
-
B.
Ivano-Frankivsk
Ivano-Frankivsk is a historic city in western Ukraine known as a cultural, economic, and administrative center of the Carpathian region.
-
C.
Zhytomyr
Zhytomyr is a historic city in northwestern Ukraine known as an important regional center and the birthplace of pioneering rocket engineer Sergei Korolev.
-
D.
Lutsk
Lutsk is a historic city in northwestern Ukraine, known as the administrative center of Volyn Oblast and one of the region’s oldest cultural and economic hubs.
-
E.
Chernihiv
Chernihiv is a historic city in northern Ukraine known for its ancient churches, rich cultural heritage, and role as a regional administrative and memorial center.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c716941c819080596b00e29999c7 |
completed | March 1, 2026, 11:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad40136c448190836426aa203590a8 |
completed | March 8, 2026, 9:23 a.m. |
Created at: March 1, 2026, 8:12 p.m.