Triple

T1546975
Position Surface form Disambiguated ID Type / Status
Subject East Frisia E32998 entity
Predicate largestCity P235 FINISHED
Object Emden E29348 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: Emden | Statement: [East Frisia, largestCity, Emden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emden
Context triple: [East Frisia, largestCity, Emden]
  • A. Emden chosen
    Emden is a historic port city in northwestern Germany known for its maritime industry and location near the North Sea.
  • B. Kolberg
    Kolberg is a historic Baltic Sea port city in present-day Kołobrzeg, Poland, known for its strategic military importance and spa tourism.
  • C. Bismarck
    Bismarck is a mid-sized city in south-central North Dakota that serves as the state’s political and administrative center.
  • D. Bismarck
    Bismarck was a famous German World War II battleship renowned for its powerful armament, heavy armor, and dramatic sinking after a major North Atlantic pursuit.
  • E. Kronstadt
    Kronstadt is a historic Russian naval port and fortress city located on Kotlin Island near Saint Petersburg, long serving as a key base for the Russian Baltic Fleet.
  • 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb20dd5a88190b3d6e6f0004fe9b4 completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad37092b648190a339114ffc37d1db completed March 8, 2026, 8:44 a.m.
Created at: March 4, 2026, 7:26 p.m.