Triple
T14135109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drohobych Oblast |
E350270
|
entity |
| Predicate | hasJurisdictionOver |
P808
|
FINISHED |
| Object | city of Drohobych |
E185412
|
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: city of Drohobych | Statement: [Drohobych Oblast, hasJurisdictionOver, city of Drohobych]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Drohobych Context triple: [Drohobych Oblast, hasJurisdictionOver, city of Drohobych]
-
A.
Drohobych
chosen
Drohobych is a historic city in western Ukraine known for its medieval architecture, salt production heritage, and association with writer and artist Bruno Schulz.
-
B.
Khmelnytskyi
Khmelnytskyi is a regional city in western Ukraine known as an important administrative, economic, and cultural center.
-
C.
Pavlohrad
Pavlohrad is an industrial city in central-eastern Ukraine known for its coal mining, chemical industry, and role as a regional transport hub.
-
D.
Kamianets-Podilskyi
Kamianets-Podilskyi is a historic city in western Ukraine renowned for its well-preserved medieval old town and impressive fortress overlooking the Smotrych River canyon.
-
E.
Myrhorod
Myrhorod is a historic city in central Ukraine, known for its mineral springs and as the setting of several stories by writer Nikolai Gogol.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610e949c8190852d336c9d12bfd0 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf14439c81908b2a9999a35cc346 |
completed | May 7, 2026, 6:51 p.m. |
Created at: April 10, 2026, 12:05 a.m.