Triple

T5268889
Position Surface form Disambiguated ID Type / Status
Subject Abdulbaset Sieda E119206 entity
Predicate familyName P18 FINISHED
Object Sieda
Sieda is the surname of Abdulbaset Sieda, a Syrian-Kurdish academic and opposition political figure.
 E507684 NE FINISHED

How this triple was built (4 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. Sigdal
    Sigdal is a rural municipality in southeastern Norway known for its forested landscapes, lakes, and traditional farming communities.
  • B. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • C. Mora
    Mora is a municipality in Portugal known for its rural Alentejo landscapes, traditional villages, and proximity to the Montargil reservoir.
  • D. Mora
    Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
  • E. Sibhaca
    Sibhaca is a vigorous traditional Swazi dance characterized by high kicking, rhythmic stomping, and powerful group performances often accompanied by chanting and drumming.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sieda
Triple: [Abdulbaset Sieda, familyName, Sieda]
Generated description
Sieda is the surname of Abdulbaset Sieda, a Syrian-Kurdish academic and opposition political figure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sieda
Target entity description: Sieda is the surname of Abdulbaset Sieda, a Syrian-Kurdish academic and opposition political figure.
  • A. Sigdal
    Sigdal is a rural municipality in southeastern Norway known for its forested landscapes, lakes, and traditional farming communities.
  • B. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • C. Mora
    Mora is a municipality in Portugal known for its rural Alentejo landscapes, traditional villages, and proximity to the Montargil reservoir.
  • D. Mora
    Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
  • E. Sibhaca
    Sibhaca is a vigorous traditional Swazi dance characterized by high kicking, rhythmic stomping, and powerful group performances often accompanied by chanting and drumming.
  • F. None of above. chosen

Provenance (5 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_69bd446c38e081908cdaf113bdf86790 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bfdc9bc81908307f44f32fe9338 completed March 20, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe924e80819083fbc761900e263c completed March 21, 2026, 8:24 p.m.
NEDg Description generation batch_69bf028c767881908e164047cb92179a completed March 21, 2026, 8:41 p.m.
NED2 Entity disambiguation (via description) batch_69bf02fc28a48190acfcf367ae9d8384 completed March 21, 2026, 8:43 p.m.
Created at: March 20, 2026, 1:51 p.m.