Triple

T26595118
Position Surface form Disambiguated ID Type / Status
Subject Mount Karthala E667469 entity
Predicate locatedOn P40 FINISHED
Object Ngazidja Island
Ngazidja Island, also known as Grande Comore, is the largest island of the Comoros archipelago in the Indian Ocean, characterized by its volcanic landscape and active Mount Karthala.
E2296318 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: Ngazidja Island | Statement: [Mount Karthala, locatedOn, Ngazidja Island]
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: Ngazidja Island
Triple: [Mount Karthala, locatedOn, Ngazidja Island]
Generated description
Ngazidja Island, also known as Grande Comore, is the largest island of the Comoros archipelago in the Indian Ocean, characterized by its volcanic landscape and active Mount Karthala.

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_69ee9cfc385081909ac9ae178030a06e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f61528e2b88190a35896a563572146 completed May 2, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a82629a260c8190b5c026466e40fbb1 completed Aug. 17, 2026, 1:23 a.m.
NEDg Description generation batch_6a8262f489b88190a7a16c6c40d9983e completed Aug. 17, 2026, 1:25 a.m.
NED2 Entity disambiguation (via description) batch_6a82634655c48190be7c991c6ce2cf4e completed Aug. 17, 2026, 1:26 a.m.
Created at: April 27, 2026, 2:09 a.m.