Triple
T10473270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wieluń |
E246981
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Stryi |
E661981
|
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: Stryi | Statement: [Wieluń, hasTwinTown, Stryi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stryi Context triple: [Wieluń, hasTwinTown, Stryi]
-
A.
Stryi
chosen
Stryi is a historic city in western Ukraine known as an important regional center of the Lviv Oblast.
-
B.
Kryvorivnia
Kryvorivnia is a traditional Hutsul mountain village in western Ukraine known for its rich folk culture and picturesque Carpathian landscapes.
-
C.
Rubizhne
Rubizhne is an industrial city in eastern Ukraine known for its chemical and manufacturing industries and its location within the conflict-affected Donbas region.
-
D.
Pervomaiskyi
Pervomaiskyi is a small industrial city in eastern Ukraine known for its chemical industry and location within Kharkiv Oblast.
-
E.
Verkhovyna
Verkhovyna is a mountainous village and popular tourist destination in the Carpathian region of western Ukraine, known for its Hutsul culture and scenic landscapes.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5094daac081908e0ba5e10c1bbb67 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90db8b1288190bb6bb064cb0724e0 |
completed | April 10, 2026, 2:48 p.m. |
Created at: April 6, 2026, 12:20 p.m.