Triple
T18932090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Łuków |
E463137
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Novohrad-Volynskyi |
—
|
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: Novohrad-Volynskyi | Statement: [Łuków, twinTown, Novohrad-Volynskyi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Novohrad-Volynskyi Context triple: [Łuków, twinTown, Novohrad-Volynskyi]
-
A.
Novohrad-Volynskyi
chosen
Novohrad-Volynskyi is a historic city in northwestern Ukraine, known as the birthplace of renowned Ukrainian writer and poet Lesya Ukrainka.
-
B.
Sviatoshyn
Sviatoshyn is a residential neighborhood in Kyiv, Ukraine, known for its location along the city’s metro system and its mix of Soviet-era housing and green spaces.
-
C.
Kremenets
Kremenets is a historic town in western Ukraine known for its rich cultural heritage and once-significant Jewish community.
-
D.
Ostroh
Ostroh is a historic city in western Ukraine known for its medieval castle and as the home of the influential Ostroh Academy, one of Eastern Europe's earliest centers of higher education.
-
E.
Chortkiv
Chortkiv is a historic town in western Ukraine known for its architectural landmarks and role as a local cultural and administrative center.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9c0b84881909ad6da9522203df8 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.