Triple

T30782163
Position Surface form Disambiguated ID Type / Status
Subject Expressway S7 E783842 entity
Predicate hasJunctionWith P1018 FINISHED
Object A4 motorway (near Kraków)
The A4 motorway near Kraków is a major east–west highway in southern Poland that forms part of the European route E40 and serves as a key bypass and transit corridor around the city.
 E1930971 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: A4 motorway (near Kraków) | Statement: [Expressway S7, hasJunctionWith, A4 motorway (near Kraków)]
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: A4 motorway (near Kraków)
Triple: [Expressway S7, hasJunctionWith, A4 motorway (near Kraków)]
Generated description
The A4 motorway near Kraków is a major east–west highway in southern Poland that forms part of the European route E40 and serves as a key bypass and transit corridor around the city.

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_69f224b213c8819083886073f90b647e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68fe5193081909ef1c57bc00c8315 completed May 2, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28b0a58f1c8190b8a3caea7dd39703 completed June 10, 2026, 12:32 a.m.
NEDg Description generation batch_6a28b23178f08190976709c4f5806660 completed June 10, 2026, 12:39 a.m.
NED2 Entity disambiguation (via description) batch_6a28b2e6bb048190884738834cd67238 completed June 10, 2026, 12:42 a.m.
Created at: April 29, 2026, 8:41 p.m.