Triple
T2830871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lublin Voivodeship |
E62231
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Chełm |
E398525
|
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: Chełm | Statement: [Lublin Voivodeship, contains, Chełm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chełm Context triple: [Lublin Voivodeship, contains, Chełm]
-
A.
Chełm
chosen
Chełm is a city in eastern Poland known for its historical significance, including its role in World War II-era political developments and its distinctive chalk tunnels and religious heritage.
-
B.
Czorsztyn
Czorsztyn is a small village in southern Poland known for its picturesque lakeside setting on the Dunajec River and the ruins of a medieval castle overlooking the Pieniny Mountains.
-
C.
Chrzanów
Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
-
D.
Tczew
Tczew is a historic town in northern Poland on the Vistula River, known for its important railway bridges and role as a regional transport hub.
-
E.
Pałuki
Pałuki is a historical and ethnographic region in north-central Poland, known for its distinctive folk culture, wooden architecture, and numerous lakes.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebd5a2c81908f0e30a0ae0eb8df |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd33296a08190b0d3cd9f7a5374a0 |
completed | March 20, 2026, 11:07 p.m. |
Created at: March 6, 2026, 10:01 p.m.