Triple
T6255652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnsley |
E140156
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Horlivka |
E224979
|
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: Horlivka | Statement: [Barnsley, hasTwinTown, Horlivka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Horlivka Context triple: [Barnsley, hasTwinTown, Horlivka]
-
A.
Horlivka
chosen
Horlivka is an industrial city in eastern Ukraine’s Donetsk region, known for its coal mining and chemical industries and its location within the contested Donbas area.
-
B.
Shepetivka
Shepetivka is a city in western Ukraine known as the birthplace of prominent Russian politician Valentina Matviyenko.
-
C.
Horokhiv
Horokhiv is a small town in western Ukraine known for its location within the historic Volyn region.
-
D.
Vyshhorod
Vyshhorod is a historic town near Kyiv in northern Ukraine, known as a medieval residence of Kyivan Rus' princes and now an industrial and cultural center on the Dnieper River.
-
E.
Snihurivka
Snihurivka is a small town in southern Ukraine known for its agricultural surroundings and strategic location in Mykolaiv Oblast.
- 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06363d6008190bf05e003b1f74497 |
completed | March 22, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c603ea4b64819098abfe83fc5003aa |
completed | March 27, 2026, 4:13 a.m. |
Created at: March 22, 2026, 4:24 p.m.