Triple
T15481465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lidzbark Warmiński |
E376926
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Pionki |
E1042704
|
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: Pionki | Statement: [Lidzbark Warmiński, hasTwinTown, Pionki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pionki Context triple: [Lidzbark Warmiński, hasTwinTown, Pionki]
-
A.
Pionki
chosen
Pionki is a town in east-central Poland known historically for its chemical industry and location between Radom and Kozienice.
-
B.
Pawns
"Pawns" is a dramatic work by English poet and playwright John Drinkwater, reflecting his early 20th-century literary style and themes.
-
C.
Chessmen
Chessmen are classic buttery shortbread cookies from Pepperidge Farm, known for their rich flavor and distinctive stamped designs.
-
D.
Šahy
Šahy is a small town in southern Slovakia near the Hungarian border, known for its historical ties to both Slovak and Hungarian cultures.
-
E.
Schiers
Schiers is a Swiss municipality in the canton of Graubünden, known as a local center in the Prättigau valley with a mix of rural character and regional services.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8cb4388190a3b4c92c3bb4ad4f |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d0d6ef0819091623de2888a7101 |
completed | May 9, 2026, 12:48 p.m. |
Created at: April 10, 2026, 3:34 a.m.