Triple

T27415327
Position Surface form Disambiguated ID Type / Status
Subject Mont Benara E692875 entity
Predicate isNear P350 FINISHED
Object Indian Ocean coast of Mayotte
The Indian Ocean coast of Mayotte is the island’s tropical shoreline characterized by coral reefs, mangroves, and lagoons that support rich marine biodiversity and local fishing communities.
 E1772707 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: Indian Ocean coast of Mayotte | Statement: [Mont Benara, isNear, Indian Ocean coast of Mayotte]
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: Indian Ocean coast of Mayotte
Triple: [Mont Benara, isNear, Indian Ocean coast of Mayotte]
Generated description
The Indian Ocean coast of Mayotte is the island’s tropical shoreline characterized by coral reefs, mangroves, and lagoons that support rich marine biodiversity and local fishing communities.

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_69ef5208617081908f731d312e0fd1bc completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62d19c9d88190938cdcd21112fc69 completed May 2, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12b2442a0c8190bcf7cb3f00ef5e51 completed May 24, 2026, 8:09 a.m.
NEDg Description generation batch_6a12b3ac2c8481908da47312d238fa0c completed May 24, 2026, 8:15 a.m.
NED2 Entity disambiguation (via description) batch_6a12b42bd380819087489bdeb2dbfab7 completed May 24, 2026, 8:17 a.m.
Created at: April 27, 2026, 12:33 p.m.