Triple

T15755301
Position Surface form Disambiguated ID Type / Status
Subject Brumowski Air Base E381952 entity
Predicate locationNear P61270 FINISHED
Object Langenlebarn E1180214 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: Langenlebarn | Statement: [Brumowski Air Base, locationNear, Langenlebarn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langenlebarn
Context triple: [Brumowski Air Base, locationNear, Langenlebarn]
  • A. Langenlebarn chosen
    Langenlebarn is a locality in Austria best known for giving its name to the nearby Langenlebarn Air Base.
  • B. Flossenbürg concentration camp
    Flossenbürg concentration camp was a Nazi SS concentration camp in Bavaria, Germany, used primarily for forced labor and the imprisonment and execution of political prisoners and resistance members during World War II.
  • C. Anhausen
    Anhausen is a small German village best known as the birthplace of professional golfer Bernhard Langer.
  • D. Frauenburg
    Frauenburg is the German name for Frombork, a historic town in northern Poland best known as the longtime residence and workplace of astronomer Nicolaus Copernicus.
  • E. Geisenhausen
    Geisenhausen is a market town in Lower Bavaria, Germany, known for its rural character and proximity to the city of Landshut.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b1ff4881909d5240d1d30f5c8b completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9361f5c8190b68702154d05bbc2 completed May 9, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:47 a.m.