Triple

T4249530
Position Surface form Disambiguated ID Type / Status
Subject Swabian Jura E95812 entity
Predicate crossedBy P416 FINISHED
Object Autobahn A7 E422245 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: Autobahn A7 | Statement: [Swabian Jura, crossedBy, Autobahn A7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Autobahn A7
Context triple: [Swabian Jura, crossedBy, Autobahn A7]
  • A. Autobahn A7 chosen
    Autobahn A7 is one of Germany’s longest and most important north–south motorways, running from the Danish border through central Germany toward the Austrian border.
  • B. Autobahn A9
    Autobahn A9 is a major German motorway running roughly north–south and connecting Berlin with Munich, serving as one of the country’s key long-distance transport corridors.
  • C. Autobahn A8
    Autobahn A8 is a major east–west German motorway that runs across southern Germany, connecting the French border near Saarbrücken to the Austrian border near Salzburg.
  • D. Autobahn A5
    Autobahn A5 is a major north–south German motorway that runs from the Hattenbach Triangle in central Germany to the Swiss border near Basel, serving as a key long-distance traffic corridor.
  • E. Autobahn A1
    Autobahn A1 is one of Germany’s major north–south motorways, connecting key cities from the Baltic Sea coast down through western Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e9df10881908a2f039773f8afaa completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b65f24783c8190a735629237069a92 completed March 15, 2026, 7:26 a.m.
Created at: March 12, 2026, 11:06 p.m.