Triple
T16815366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northeim |
E408729
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Środa Wielkopolska |
E693248
|
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: Środa Wielkopolska | Statement: [Northeim, hasTwinTown, Środa Wielkopolska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Środa Wielkopolska Context triple: [Northeim, hasTwinTown, Środa Wielkopolska]
-
A.
Środa Wielkopolska
chosen
Środa Wielkopolska is a historic town in west-central Poland, located in the Greater Poland region southeast of Poznań.
-
B.
Środa Śląska
Środa Śląska is a historic town in southwestern Poland’s Lower Silesian Voivodeship, known for its medieval heritage and location near Wrocław.
-
C.
Święciany
Święciany is a historic town in present-day Lithuania that was one of the principal urban centers of the former Wilno Voivodeship.
-
D.
Wednig
Wednig is a locality or district that forms part of the town of Trebsen in the German state of Saxony.
-
E.
Duma Wielkopolski
Duma Wielkopolski is a popular nickname for Lech Poznań, one of Poland’s most prominent football clubs from the Greater Poland region.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e0e05081908bd5eaa64abe133d |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b2946ddc81908b1e7c662dc943ff |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:23 a.m.