Triple
T11928054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Chojnice |
E283834
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Chojnice |
E229417
|
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: Chojnice | Statement: [Battle of Chojnice, location, Chojnice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chojnice Context triple: [Battle of Chojnice, location, Chojnice]
-
A.
Chojnice
chosen
Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
-
B.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
C.
Wiślica
Wiślica is a historic town in south-central Poland, known for its medieval architecture and archaeological significance as one of the country’s oldest settlements.
-
D.
Pszczyna
Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
-
E.
Korczyna
Korczyna is a village in southeastern Poland, known as a local administrative and residential center within the Subcarpathian 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903024afc8190a97aa3263dc7d017 |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82dcec0c8190a5e4ac0aafd34504 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 8, 2026, 9:45 p.m.