Triple

T37145271
Position Surface form Disambiguated ID Type / Status
Subject Rally for Congolese Democracy E920224 entity
Predicate politicalWing P16651 FINISHED
Object RCD political party
The RCD political party is a Congolese political organization that emerged from the Rally for Congolese Democracy rebel movement active during the Second Congo War.
E2214912 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: RCD political party | Statement: [Rally for Congolese Democracy, politicalWing, RCD political party]
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: RCD political party
Triple: [Rally for Congolese Democracy, politicalWing, RCD political party]
Generated description
The RCD political party is a Congolese political organization that emerged from the Rally for Congolese Democracy rebel movement active during the Second Congo War.

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_69f76e9f87c08190b4c8f7fafbd8345a completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb30691ef88190b3cedb9868450fb4 completed May 6, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3f6a2d35848190b6410e4ac53df115 completed June 27, 2026, 6:14 a.m.
NEDg Description generation batch_6a3f6c091a548190809a8a3b4f142e83 completed June 27, 2026, 6:22 a.m.
NED2 Entity disambiguation (via description) batch_6a3ffa5151a8819081fd0b81ff6d3749 completed June 27, 2026, 4:29 p.m.
Created at: May 3, 2026, 4:15 p.m.