Triple

T11007730
Position Surface form Disambiguated ID Type / Status
Subject Hanover, Lower Saxony, Germany E260163 entity
Predicate hasAirport P105 FINISHED
Object Hannover Airport E118889 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: Hannover Airport | Statement: [Hanover, Lower Saxony, Germany, hasAirport, Hannover Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hannover Airport
Context triple: [Hanover, Lower Saxony, Germany, hasAirport, Hannover Airport]
  • A. Hannover Airport chosen
    Hannover Airport is an international airport serving the city of Hanover in northern Germany, handling passenger and cargo flights for the region.
  • B. Hamburg Airport
    Hamburg Airport is an international airport in northern Germany serving the city of Hamburg and the surrounding region as a major passenger and cargo hub.
  • C. Bremen Airport
    Bremen Airport is an international airport in northern Germany serving the city of Bremen and the surrounding region with domestic and European flights.
  • D. Nuremberg Airport
    Nuremberg Airport is an international airport in northern Bavaria, Germany, serving the city of Nuremberg and the surrounding Franconia region with passenger and cargo flights.
  • E. Leipzig/Halle Airport
    Leipzig/Halle Airport is a major international airport in eastern Germany that serves the cities of Leipzig and Halle and functions as an important cargo and passenger hub.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79757bdcc8190900b267826eece21 completed April 9, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58a8c67248190be284ddd84f9d8b8 completed April 20, 2026, 2:08 a.m.
Created at: April 8, 2026, 9:25 p.m.