Triple

T21513144
Position Surface form Disambiguated ID Type / Status
Subject U1 E530776 entity
Predicate hasStation P35 FINISHED
Object Hallesches Tor E72035 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: Hallesches Tor | Statement: [U1, hasStation, Hallesches Tor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hallesches Tor
Context triple: [U1, hasStation, Hallesches Tor]
  • A. Hallesches Tor chosen
    Hallesches Tor is a major Berlin U-Bahn interchange station in the Kreuzberg district, serving as a key hub for multiple subway lines.
  • B. Frankfurter Tor
    Frankfurter Tor is a prominent square and transport hub in Berlin’s Friedrichshain district, notable for its twin-towered Stalinist architecture and role as a gateway to the city’s historic Karl-Marx-Allee.
  • C. Eschenheimer Tor
    Eschenheimer Tor is a historic city gate and prominent landmark in central Frankfurt am Main, Germany.
  • D. Tübinger Tor
    Tübinger Tor is a historic city gate and notable architectural landmark in Reutlingen, Germany.
  • E. Berliner Tor
    Berliner Tor is a historic city gate in Wesel, Germany, notable for its baroque architecture and role in the town’s former fortifications.
  • 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea8779c081908171c58d345d54ae completed April 23, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09eed3e4e881908cae748e38845a6e completed May 17, 2026, 4:37 p.m.
Created at: April 16, 2026, 6:25 p.m.