Triple

T24300059
Position Surface form Disambiguated ID Type / Status
Subject Französische Straße U-Bahn station E606066 entity
Predicate hasNameMeaning P1966 FINISHED
Object French Street
French Street is the English meaning of the German name "Französische Straße," referring to a street associated with French influence or heritage.
 E2125618 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: French Street | Statement: [Französische Straße U-Bahn station, hasNameMeaning, French 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: French Street
Triple: [Französische Straße U-Bahn station, hasNameMeaning, French Street]
Generated description
French Street is the English meaning of the German name "Französische Straße," referring to a street associated with French influence or heritage.

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_69e29549335881909cbf27adcaba1cf0 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f2915d8ac881908d71ba529e30f434 completed April 29, 2026, 11:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37cfc5b2e48190bf66a65671ee9744 completed June 21, 2026, 11:49 a.m.
NEDg Description generation batch_6a37d07ba708819081b552b8a69313e5 completed June 21, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_6a37d1935d9881909cee3755fec2d996 completed June 21, 2026, 11:57 a.m.
Created at: April 18, 2026, 12:09 a.m.