Triple

T23720999
Position Surface form Disambiguated ID Type / Status
Subject Nowogard E586141 entity
Predicate locatedInAdministrativeTerritorialEntity P40 FINISHED
Object Goleniów County
Goleniów County is an administrative district in the West Pomeranian Voivodeship of northwestern Poland, known for its mix of urban centers, forests, and proximity to the Baltic coast.
E2045201 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: Goleniów County | Statement: [Nowogard, locatedInAdministrativeTerritorialEntity, Goleniów County]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Goleniów County
Triple: [Nowogard, locatedInAdministrativeTerritorialEntity, Goleniów County]
Generated description
Goleniów County is an administrative district in the West Pomeranian Voivodeship of northwestern Poland, known for its mix of urban centers, forests, and proximity to the Baltic coast.

Provenance (5 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_69e24906fb108190a6898751e46bdc11 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b910759c8190be189db3e86d7258 completed April 29, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3542f27d6481908c4a68e76805defe completed June 19, 2026, 1:24 p.m.
NEDg Description generation batch_6a3543e33234819098c6be618c0a4404 completed June 19, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_6a35446396788190b2acad4c36a8226f completed June 19, 2026, 1:30 p.m.
Created at: April 17, 2026, 7:01 p.m.