Triple

T2144669
Position Surface form Disambiguated ID Type / Status
Subject Imperial German Navy E47035 entity
Predicate notableShip P3345 FINISHED
Object SMS Helgoland E59562 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: SMS Helgoland | Statement: [Imperial German Navy, notableShip, SMS Helgoland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SMS Helgoland
Context triple: [Imperial German Navy, notableShip, SMS Helgoland]
  • A. Wangerooge
    Wangerooge is a small German North Sea island known for its sandy beaches, tourism, and car-free environment as part of the East Frisian Islands.
  • B. Seiling
    Seiling is a small rural city in Dewey County, northwestern Oklahoma, known historically as a farming and ranching community.
  • C. Count of Vechta
    Count of Vechta was a noble title in the Holy Roman Empire associated with the territory around the town of Vechta in present-day Lower Saxony, Germany.
  • D. Hauke
    Hauke is a Germanic given name, particularly common in Northern Germany, that is cognate with the English name Hugh.
  • E. Helgoland chosen
    Helgoland is a small German archipelago in the North Sea known for its dramatic red sandstone cliffs, unique wildlife, and historical significance as a strategic naval and cultural site.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe223f848190a60bd0f15aed1021 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51b8152c81908c66d389bf14dc7e completed March 9, 2026, 4:51 a.m.
Created at: March 4, 2026, 7:44 p.m.