Triple

T29236817
Position Surface form Disambiguated ID Type / Status
Subject Registrar General’s Office (Zimbabwe) E741215 entity
Predicate hasHead P981 FINISHED
Object Registrar General of Zimbabwe
The Registrar General of Zimbabwe is the senior government official responsible for overseeing civil registration and the issuance of key identity and travel documents in Zimbabwe.
E741215 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: Registrar General of Zimbabwe | Statement: [Registrar General’s Office (Zimbabwe), hasHead, Registrar General of Zimbabwe]
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: Registrar General of Zimbabwe
Triple: [Registrar General’s Office (Zimbabwe), hasHead, Registrar General of Zimbabwe]
Generated description
The Registrar General of Zimbabwe is the senior government official responsible for overseeing civil registration and the issuance of key identity and travel documents in Zimbabwe.

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_69f0911dd6fc819097d1abb287016489 completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f66465641881908c657052b889e002 completed May 2, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2569e055788190a6fce6d983890c8c completed June 7, 2026, 12:53 p.m.
NEDg Description generation batch_6a256de52c5081909bcc1f8aad3863f1 completed June 7, 2026, 1:11 p.m.
NED2 Entity disambiguation (via description) batch_6a257365ca8c8190945e82297e2d8a12 completed June 7, 2026, 1:34 p.m.
Created at: April 28, 2026, 12:29 p.m.