Triple
T14968672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Działdowo |
E373258
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Mława |
—
|
NE NERFINISHED |
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: Mława | Statement: [Działdowo, nearbyCity, Mława]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mława Context triple: [Działdowo, nearbyCity, Mława]
-
A.
Mława
chosen
Mława is a town in north-central Poland known for its historical significance, including a major World War II battle, and its regional cultural and economic role.
-
B.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
C.
Głuszyna
Głuszyna is a locality in present-day Poland known as the birthplace of the 19th-century Polish explorer and geologist Paweł Edmund Strzelecki.
-
D.
Skawica
Skawica is a village in southern Poland, located in the Lesser Poland Voivodeship within the administrative district of powiat suski.
-
E.
Byczyna
Byczyna is a historic small town in southwestern Poland known for its well-preserved medieval urban layout and defensive walls.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e44cb0819096e09f8026ef8174 |
completed | April 15, 2026, 12:08 a.m. |
Created at: April 10, 2026, 2:48 a.m.