Triple

T31006232
Position Surface form Disambiguated ID Type / Status
Subject Wolesi Jirga E790071 entity
Predicate hasDeputySpeakers P120291 FINISHED
Object Deputy Speakers of the Wolesi Jirga
The Deputy Speakers of the Wolesi Jirga are senior parliamentary officials who assist the Speaker in presiding over Afghanistan’s lower house of the National Assembly and managing its legislative proceedings.
 E1780456 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: Deputy Speakers of the Wolesi Jirga | Statement: [Wolesi Jirga, hasDeputySpeakers, Deputy Speakers of the Wolesi Jirga]
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: Deputy Speakers of the Wolesi Jirga
Triple: [Wolesi Jirga, hasDeputySpeakers, Deputy Speakers of the Wolesi Jirga]
Generated description
The Deputy Speakers of the Wolesi Jirga are senior parliamentary officials who assist the Speaker in presiding over Afghanistan’s lower house of the National Assembly and managing its legislative proceedings.

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_69f224c73ca48190a1e46cb58ad4045b completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69444e6388190b86b278fe5ebce92 completed May 3, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2918366c448190839e5d1538e616e7 completed June 10, 2026, 7:54 a.m.
NEDg Description generation batch_6a2919bc8e548190bcfb5cd9255d83f8 completed June 10, 2026, 8:01 a.m.
NED2 Entity disambiguation (via description) batch_6a291a7f7804819099458886138be398 completed June 10, 2026, 8:04 a.m.
Created at: April 29, 2026, 8:57 p.m.