Triple

T12182130
Position Surface form Disambiguated ID Type / Status
Subject Burzenland E290245 entity
Predicate hasMajorTown P316 FINISHED
Object Hărman E895649 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: Hărman | Statement: [Burzenland, hasMajorTown, Hărman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hărman
Context triple: [Burzenland, hasMajorTown, Hărman]
  • A. Hărman chosen
    Hărman is a commune in central Romania known for its well-preserved fortified church and Saxon heritage, located near the city of Brașov.
  • B. Hebros Harmanli
    Hebros Harmanli is a Bulgarian football club known as one of the early teams in the career of legendary forward Hristo Stoichkov.
  • C. Estermann
    Estermann is a surname most notably associated with mathematician Theodor Estermann, known for his contributions to analytic number theory.
  • D. Hammann
    Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
  • E. Siodmak
    Siodmak is a German surname most notably associated with writer Curt Siodmak and his brother, film director Robert Siodmak, both influential figures in 20th-century cinema.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d915fd8dac8190928059ad2b6bbbf3 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6acee6481908ee4129956c98c52 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.