Triple

T11646996
Position Surface form Disambiguated ID Type / Status
Subject U1 (Vienna U-Bahn) E276799 entity
Predicate extension P11869 FINISHED
Object Kagran extension E753242 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: Kagran extension | Statement: [U1 (Vienna U-Bahn), extension, Kagran extension]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kagran extension
Context triple: [U1 (Vienna U-Bahn), extension, Kagran extension]
  • A. Kagran chosen
    Kagran is a district in Vienna, Austria, known as a largely residential area with shopping centers and transport links on the city's northeastern side.
  • B. Kronan
    Kronan was a 17th-century Swedish warship and one of the largest and most powerful vessels of its time, serving as the flagship of the Swedish navy before its catastrophic sinking.
  • C. Kalkan
    Kalkan is a picturesque seaside town on Turkey’s Mediterranean coast, known for its historic architecture, steep cobbled streets, and upscale tourism.
  • D. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • E. Kniphausen
    Kniphausen is a historical territory in present-day Germany that once functioned as a small semi-independent lordship under various regional powers.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a2cc8bfc8190a063cc37de9596a9 completed April 10, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87f903c48190b9055ad4cfebb1e1 completed April 26, 2026, 9:47 p.m.
Created at: April 8, 2026, 9:39 p.m.