Triple
T9189517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryn |
E220544
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Giżycko |
E373257
|
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: Giżycko | Statement: [Ryn, locatedNear, Giżycko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giżycko Context triple: [Ryn, locatedNear, Giżycko]
-
A.
Giżycko
chosen
Giżycko is a popular lakeside town in northeastern Poland, known as a major sailing and tourism center in the Masurian Lake District.
-
B.
Kartuzy
Kartuzy is a town in northern Poland that serves as the main cultural center of the Kashubian ethnic group.
-
C.
Kwidzyn
Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
-
D.
Gryfice
Gryfice is a historic town in northwestern Poland known for its medieval urban layout and remnants of defensive walls.
-
E.
Elbląg
Elbląg is a historic city in northern Poland known for its reconstructed Old Town, medieval heritage, and role as an important port and industrial center.
- 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5bd8c5c81909d0cdbcd7410fcee |
completed | April 1, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb6bb34548190aac9d2af05477750 |
completed | April 12, 2026, 3:14 p.m. |
Created at: March 30, 2026, 7:24 p.m.