Triple

T36307326
Position Surface form Disambiguated ID Type / Status
Subject Kilindini Harbour E893975 entity
Predicate connectsTo P845 FINISHED
Object Eastern Democratic Republic of the Congo
Eastern Democratic Republic of the Congo is a conflict-affected, resource-rich region of eastern DRC known for its dense forests, mountainous terrain, and significant mining and humanitarian challenges.
E2179334 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: Eastern Democratic Republic of the Congo | Statement: [Kilindini Harbour, connectsTo, Eastern Democratic Republic of the Congo]
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: Eastern Democratic Republic of the Congo
Triple: [Kilindini Harbour, connectsTo, Eastern Democratic Republic of the Congo]
Generated description
Eastern Democratic Republic of the Congo is a conflict-affected, resource-rich region of eastern DRC known for its dense forests, mountainous terrain, and significant mining and humanitarian challenges.

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_69f76e4c1b248190b10667d0213537fe completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7ba2071688190b3d4bf18a572b6f9 completed May 3, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a397d888340819098031ef17057ea19 completed June 22, 2026, 6:23 p.m.
NEDg Description generation batch_6a3991a5e578819094db7fca1ea7437b completed June 22, 2026, 7:48 p.m.
NED2 Entity disambiguation (via description) batch_6a39927c2c488190b0d23beee3e77909 completed June 22, 2026, 7:52 p.m.
Created at: May 3, 2026, 4:09 p.m.