Triple

T32195451
Position Surface form Disambiguated ID Type / Status
Subject Plac Bankowy E822391 entity
Predicate hasNearbyStreet P8235 FINISHED
Object Nowy Przejazd Street
Nowy Przejazd Street is a street in central Warsaw, Poland, situated near the prominent Plac Bankowy square.
 E1998747 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: Nowy Przejazd Street | Statement: [Plac Bankowy, hasNearbyStreet, Nowy Przejazd Street]
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: Nowy Przejazd Street
Triple: [Plac Bankowy, hasNearbyStreet, Nowy Przejazd Street]
Generated description
Nowy Przejazd Street is a street in central Warsaw, Poland, situated near the prominent Plac Bankowy square.

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_69f3490819cc81909bae1f8ce99423c5 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bb3795fc8190bfcb00d45aa887a1 completed May 3, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f46c42fe48190b4cdfbaa8c156659 completed June 15, 2026, 12:26 a.m.
NEDg Description generation batch_6a2f4831a32c8190ad20aa36509c985f completed June 15, 2026, 12:32 a.m.
NED2 Entity disambiguation (via description) batch_6a2f48982324819085c67bfe1168b66d completed June 15, 2026, 12:34 a.m.
Created at: May 1, 2026, 12:35 a.m.