Triple
T8976637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speyer |
E214406
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Gniezno |
E226276
|
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: Gniezno | Statement: [Speyer, twinTown, Gniezno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gniezno Context triple: [Speyer, twinTown, Gniezno]
-
A.
Gniezno
chosen
Gniezno is a historic city in west-central Poland, renowned as the country’s first capital and an early center of Polish statehood and Christianity.
-
B.
Ogrodzieniec
Ogrodzieniec is a town in southern Poland best known for the ruins of its medieval castle in the Kraków-Częstochowa Upland.
-
C.
Lidzbark Warmiński
Lidzbark Warmiński is a historic town in northern Poland known for its well-preserved Gothic castle and role as a former seat of the Warmian bishops.
-
D.
Płock
Płock is a historic city in central Poland known for its medieval architecture and scenic location on the banks of the Vistula River.
-
E.
Toruń
Toruń is a historic city in northern Poland, renowned for its well-preserved medieval Old Town and as the birthplace of astronomer Nicolaus Copernicus.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6786c880819088393bb107a7364c |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b56fd9cc819089ed17169d313d8b |
completed | April 5, 2026, 7:18 p.m. |
Created at: March 30, 2026, 7:02 p.m.