Triple

T16048019
Position Surface form Disambiguated ID Type / Status
Subject Böblingen E389273 entity
Predicate hasTransportConnection P845 FINISHED
Object Autobahn A81 E438520 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 A81 | Statement: [Böblingen, hasTransportConnection, Autobahn A81]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Autobahn A81
Context triple: [Böblingen, hasTransportConnection, Autobahn A81]
  • A. Autobahn A81 chosen
    Autobahn A81 is a major German motorway in southwestern Germany that connects Würzburg to the Lake Constance region, serving as an important north–south transport corridor.
  • B. 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.
  • C. Autobahn A93
    Autobahn A93 is a federal motorway in southern Germany that connects regions in Bavaria and links major routes toward the Austrian border.
  • D. 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.
  • E. Autobahn A99
    Autobahn A99 is a major ring motorway encircling Munich, Germany, serving as a key bypass and connector for several important autobahn routes.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18360464881909fd4d3bcb4ffb7f5 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe478bcc48190bdd4fcb7ec51caad completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:56 a.m.