Triple

T3489285
Position Surface form Disambiguated ID Type / Status
Subject Rhens E73685 entity
Predicate hasTransportConnection P845 FINISHED
Object federal road B9 E351918 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: federal road B9 | Statement: [Rhens, hasTransportConnection, federal road B9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: federal road B9
Context triple: [Rhens, hasTransportConnection, federal road B9]
  • A. federal road B9 chosen
    Federal road B9 is a major German highway running along the Rhine River, connecting numerous towns and cities and serving as an important scenic and transport route through regions such as the Upper Middle Rhine Valley.
  • B. B969 road
    The B969 road is a minor route in Fife, Scotland, providing local connectivity in and around the town of Glenrothes.
  • C. federal road B42
    Federal road B42 is a major German highway running along the right bank of the Middle Rhine, connecting numerous towns and cultural landmarks within the Upper Middle Rhine Valley.
  • D. B13 federal road
    The B13 federal road is a major German highway that runs through Bavaria, connecting towns such as Bad Tölz with larger regional and national road networks.
  • E. D970 road
    The D970 road is a departmental route in southern France that serves as a regional connector in and around the town of Tarascon.
  • 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_69ad85cca8d4819088494e9f3340fab5 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbb92b3ac8190b8675f5a5e9d4408 completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373bb0e00819087899a394f50295d completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:18 p.m.