Triple

T9841425
Position Surface form Disambiguated ID Type / Status
Subject Heinrich Sahm E239234 entity
Predicate placeOfBirth P1 FINISHED
Object Anklam E213445 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: Anklam | Statement: [Heinrich Sahm, placeOfBirth, Anklam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anklam
Context triple: [Heinrich Sahm, placeOfBirth, Anklam]
  • A. Anklam chosen
    Anklam is a small historic town in northeastern Germany’s Mecklenburg-Vorpommern state, known as the birthplace of aviation pioneer Otto Lilienthal.
  • B. Johannisthal
    Johannisthal is a locality in the Berlin borough of Treptow-Köpenick, known historically for Germany’s first airfield and its early aviation activities.
  • C. Wrangelsburg
    Wrangelsburg is a historic estate and locality in northeastern Germany associated with the 17th-century Swedish field marshal and statesman Carl Gustaf Wrangel.
  • D. Ankum
    Ankum is a municipality in Lower Saxony, Germany, situated within the Osnabrück district.
  • E. Bijnor
    Bijnor is a prominent city in the Indian state of Uttar Pradesh, known for its agricultural economy, especially sugarcane cultivation, and its historical and cultural significance in the region.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb34c920c81909b56ed9936b15f9b completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5d9673c8190ada27bef9220798d completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:33 p.m.