Triple

T1725963
Position Surface form Disambiguated ID Type / Status
Subject Gregor Mendel E37496 entity
Predicate placeOfBirth P1 FINISHED
Object Heinzendorf bei Odrau E172362 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: Heinzendorf bei Odrau | Statement: [Gregor Mendel, placeOfBirth, Heinzendorf bei Odrau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heinzendorf bei Odrau
Context triple: [Gregor Mendel, placeOfBirth, Heinzendorf bei Odrau]
  • A. Jägerndorf chosen
    Jägerndorf is a historic Silesian town (now Krnov in the Czech Republic) known for its strategic and political significance in Central European history.
  • B. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • C. Zwönitz
    Zwönitz is a river in Saxony, Germany, that serves as one of the headstreams of the Chemnitz River.
  • D. Wünsdorf
    Wünsdorf is a town in Brandenburg, Germany, historically notable as a major military garrison and command center, including serving as the site of the German Wehrmacht’s high command during World War II.
  • E. Hermsdorf
    Hermsdorf is a residential locality in the Berlin borough of Reinickendorf, known for its green surroundings and village-like character on the city’s northern edge.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa635cad5481908e6c04a230d3b0bb completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8af329a481908cbd3cf351fabfd5 completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.