Triple
T18309552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ovruch Uyezd |
E438583
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Ovruch |
—
|
NE NERFINISHED |
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: Ovruch | Statement: [Ovruch Uyezd, namedAfter, Ovruch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ovruch Context triple: [Ovruch Uyezd, namedAfter, Ovruch]
-
A.
Ovruch
chosen
Ovruch is a historic town in northern Ukraine, known for its medieval origins and cultural significance in the Polesia region.
-
B.
Orlovets
Orlovets is a prominent mountain peak in Bulgaria’s Rila Mountains, popular with hikers and climbers for its rugged alpine terrain and scenic views.
-
C.
Gorokhovets
Gorokhovets is a historic town in Vladimir Oblast, Russia, known for its well-preserved merchant architecture and scenic location amid the forests and hills of central Russia.
-
D.
Khrabrovo
Khrabrovo is a locality in Russia’s Kaliningrad region best known for hosting Khrabrovo Airport, the main air gateway to Kaliningrad.
-
E.
Volnovakha
Volnovakha is a town in eastern Ukraine that serves as an important local administrative and transport hub within Donetsk Oblast.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5021709f88190a8047dd57edc2029 |
completed | April 19, 2026, 4:25 p.m. |
Created at: April 10, 2026, 10:36 a.m.