Triple
T6338237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GKS |
E142549
|
entity |
| Predicate | associatedWithCountyOrCity |
P19735
|
FINISHED |
| Object | Słupsk |
E178809
|
NE FINISHED |
How this triple was built (3 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: Słupsk | Statement: [GKS, associatedWithCountyOrCity, Słupsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Słupsk Context triple: [GKS, associatedWithCountyOrCity, Słupsk]
-
A.
Słupsk
chosen
Słupsk is a historic city in northern Poland known for its medieval architecture and location near the Baltic Sea.
-
B.
Koszalin
Koszalin is a city in northwestern Poland near the Baltic Sea, known as a regional cultural and economic center.
-
C.
Świdwin
Świdwin is a historic town in northwestern Poland, known for its medieval castle and location in the West Pomeranian Voivodeship.
-
D.
Świnoujście
Świnoujście is a Polish port city and seaside resort on the Baltic Sea, known for its wide beaches, spa facilities, and strategic location at the mouth of the Świna River.
-
E.
Giżycko
Giżycko is a popular lakeside town in northeastern Poland, known as a major sailing and tourism center in the Masurian Lake District.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCountyOrCity Context triple: [GKS, associatedWithCountyOrCity, Słupsk]
-
A.
associatedWithCounty
Indicates that an entity has a relationship or linkage to a specific county, such as jurisdiction, location, or administrative association.
-
B.
associatedWithLocality
chosen
Indicates a relationship where something has a connection or relevance to a specific geographic place or locality.
-
C.
hasAssociatedCity
Indicates that one entity is linked or related to a specific city, typically as its location, base, or primary area of association.
-
D.
isInCountySeatOf
Indicates that one entity is located within the town or city that serves as the administrative center (county seat) of a specified county.
-
E.
associatedWithSubdivision
Indicates that one entity has a connection or linkage to a specific administrative or organizational subdivision.
- F. None of above.
Provenance (4 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0654e11988190b708426d3003716a |
completed | March 22, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c922a0d2688190982714e2e409465d |
completed | March 29, 2026, 1:01 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:30 p.m.