Triple
T6475473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Gardno |
E146059
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Smołdzino |
E530798
|
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: Smołdzino | Statement: [Lake Gardno, nearbySettlement, Smołdzino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smołdzino Context triple: [Lake Gardno, nearbySettlement, Smołdzino]
-
A.
Smołdzino
chosen
Smołdzino is a village in northern Poland known as a gateway to the Słowiński National Park and the nearby coastal lakes and shifting sand dunes.
-
B.
Milejewo
Milejewo is a small village in northern Poland, located in the Warmian-Masurian Voivodeship and known for its rural character and surrounding natural landscapes.
-
C.
Mołodeczno
Mołodeczno is a town in present-day Belarus that historically served as an important regional center in the former Wilno Voivodeship.
-
D.
Bielany
Bielany is a northern district of Warsaw, Poland, known for its residential neighborhoods, green spaces, and connection to the city center via the Warsaw Metro.
-
E.
Zułowo
Zułowo is a village in present-day Lithuania best known as the birthplace of Józef Piłsudski, a key figure in Poland’s struggle for independence.
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a341360819082f2b5496a1a68b0 |
completed | March 22, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653a595b881909e5d3cb781ad5ad4 |
completed | March 27, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:50 p.m.