Triple

T24440236
Position Surface form Disambiguated ID Type / Status
Subject north-central Poland E616237 entity
Predicate hasMajorUrbanCenter P316 FINISHED
Object Bydgoszcz–Toruń metropolitan area
The Bydgoszcz–Toruń metropolitan area is a major Polish urban region centered on the twin cities of Bydgoszcz and Toruń, known for its economic, cultural, and academic significance.
E1634687 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: Bydgoszcz–Toruń metropolitan area | Statement: [north-central Poland, hasMajorUrbanCenter, Bydgoszcz–Toruń metropolitan area]
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: Bydgoszcz–Toruń metropolitan area
Triple: [north-central Poland, hasMajorUrbanCenter, Bydgoszcz–Toruń metropolitan area]
Generated description
The Bydgoszcz–Toruń metropolitan area is a major Polish urban region centered on the twin cities of Bydgoszcz and Toruń, known for its economic, cultural, and academic significance.

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_69e2d7ec44b081909ccaf1f3bbec0641 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2978a5cac81909d2141b606714fd4 completed April 29, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fe37d43948190a86515fd7fabaf50 completed May 22, 2026, 5:02 a.m.
NEDg Description generation batch_6a0fe44e2f9c8190a16f81052341c70a completed May 22, 2026, 5:06 a.m.
NED2 Entity disambiguation (via description) batch_6a0fe4e5d698819092a5d1b75f213ca0 completed May 22, 2026, 5:08 a.m.
Created at: April 18, 2026, 2:17 a.m.