Triple

T20658283
Position Surface form Disambiguated ID Type / Status
Subject Abdulbaset Sieda E507684 entity
Predicate familyName P18 FINISHED
Object Sieda NE NERFINISHED

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: Sieda | Statement: [Abdulbaset Sieda, familyName, Sieda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sieda
Context triple: [Abdulbaset Sieda, familyName, Sieda]
  • A. Sieda chosen
    Sieda is the surname of Abdulbaset Sieda, a Syrian-Kurdish academic and opposition political figure.
  • B. Sirdija
    Sirdija is a small rural settlement located within the municipality of Osečina in western Serbia.
  • C. Schindellegi
    Schindellegi is a village in the municipality of Feusisberg in the canton of Schwyz, Switzerland, known as a residential community in the greater Zurich area.
  • D. Seibeld
    Seibeld is a German surname most notably borne by politician Cornelia Seibeld.
  • E. Silbodal
    Silbodal is a locality in western Sweden known as the birthplace of pioneering film director Victor Sjöström.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2eefd5c8190a71d4be690a6ae0e completed April 20, 2026, 11:12 p.m.
Created at: April 16, 2026, 11:43 a.m.