Triple

T17737116
Position Surface form Disambiguated ID Type / Status
Subject Autobahn A99 E442748 entity
Predicate connectsTo P845 FINISHED
Object Autobahn A92 NE NERFINISHED

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: Autobahn A92 | Statement: [Autobahn A99, connectsTo, Autobahn A92]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Autobahn A92
Context triple: [Autobahn A99, connectsTo, Autobahn A92]
  • A. Autobahn A92 chosen
    Autobahn A92 is a major German motorway in Bavaria that connects Munich with Deggendorf and provides an important route toward the Czech border and eastern Europe.
  • B. Autobahn A93
    Autobahn A93 is a federal motorway in southern Germany that connects regions in Bavaria and links major routes toward the Austrian border.
  • C. Autobahn A99
    Autobahn A99 is a major ring motorway encircling Munich, Germany, serving as a key bypass and connector for several important autobahn routes.
  • D. Autobahn A98
    Autobahn A98 is a partially completed German federal motorway in the southwest of the country, intended to run roughly parallel to the Swiss border and connect several major routes.
  • E. Autobahn A94
    Autobahn A94 is a German federal motorway in Bavaria that connects Munich with the region toward Passau and the Austrian border.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478ec48988190a503f9aafeab6d23 completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 10:09 a.m.