Triple

T28811377
Position Surface form Disambiguated ID Type / Status
Subject Mouvement National Congolais E727522 entity
Predicate foundedBy P104 FINISHED
Object Godefroid Munongo
Godefroid Munongo was a Congolese politician and nationalist leader who played a prominent role in the early post-independence politics of the Democratic Republic of the Congo.
E1833392 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: Godefroid Munongo | Statement: [Mouvement National Congolais, foundedBy, Godefroid Munongo]
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: Godefroid Munongo
Triple: [Mouvement National Congolais, foundedBy, Godefroid Munongo]
Generated description
Godefroid Munongo was a Congolese politician and nationalist leader who played a prominent role in the early post-independence politics of the Democratic Republic of the Congo.

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_69f0319c38948190bca746ad60fd25ba completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f658ef66908190a921624ff271359c completed May 2, 2026, 8:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24a28238988190815a8a5c3fc15fea completed June 6, 2026, 10:43 p.m.
NEDg Description generation batch_6a24a650b8408190abe70dc1108b8368 completed June 6, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_6a24aa401b2c8190bf774922baa12667 completed June 6, 2026, 11:16 p.m.
Created at: April 28, 2026, 6:31 a.m.