Triple
T14968673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Działdowo |
E373258
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Nidzica |
E220536
|
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: Nidzica | Statement: [Działdowo, nearbyCity, Nidzica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nidzica Context triple: [Działdowo, nearbyCity, Nidzica]
-
A.
Nidzica
chosen
Nidzica is a historic town in northern Poland known for its well-preserved medieval Teutonic castle and picturesque surroundings.
-
B.
Pecica
Pecica is a town in western Romania known for its archaeological sites and proximity to the Mureș River near the Hungarian border.
-
C.
Njivice
Njivice is a coastal resort town and tourist destination on the island of Krk in Croatia, known for its beaches and seaside promenade.
-
D.
Brda
Brda is a river in northern Poland that flows through the Pomeranian region and is known for its scenic landscapes and popular kayaking routes.
-
E.
Brda
Brda is a picturesque wine-growing municipality in western Slovenia, renowned for its rolling hills, vineyards, and traditional villages near the Italian border.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e44cb0819096e09f8026ef8174 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5aaeda08190846c15562e67c1fb |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 2:48 a.m.