Triple

T34518552
Position Surface form Disambiguated ID Type / Status
Subject Shehu Shagari E886219 entity
Predicate burialPlace P196 FINISHED
Object Shagari, Sokoto State, Nigeria
Shagari, in Sokoto State, Nigeria, is a town best known as the hometown and final resting place of former Nigerian President Shehu Shagari.
E2099494 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: Shagari, Sokoto State, Nigeria | Statement: [Shehu Shagari, burialPlace, Shagari, Sokoto State, Nigeria]
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: Shagari, Sokoto State, Nigeria
Triple: [Shehu Shagari, burialPlace, Shagari, Sokoto State, Nigeria]
Generated description
Shagari, in Sokoto State, Nigeria, is a town best known as the hometown and final resting place of former Nigerian President Shehu Shagari.

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_69f349ccc290819089d8e82698e53cb6 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71f9689f08190a2d553909b37c4c0 completed May 3, 2026, 10:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3729e346ac8190b8ea504960f37807 completed June 21, 2026, 12:01 a.m.
NEDg Description generation batch_6a372ada69c08190984c1a7ce673107b completed June 21, 2026, 12:05 a.m.
NED2 Entity disambiguation (via description) batch_6a372b555c00819093247e37c60d8a31 completed June 21, 2026, 12:07 a.m.
Created at: May 1, 2026, 2:01 a.m.