Triple

T284095
Position Surface form Disambiguated ID Type / Status
Subject Sustainable Development Goals E5850 entity
Predicate hasGoal P68 FINISHED
Object Life Below Water
Life Below Water is a United Nations Sustainable Development Goal focused on conserving and sustainably using the oceans, seas, and marine resources.
E36792 NE FINISHED

How this triple was built (4 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: Life Below Water | Statement: [Sustainable Development Goals, hasGoal, Life Below Water]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Life Below Water
Context triple: [Sustainable Development Goals, hasGoal, Life Below Water]
  • A. Sirena Deep
    Sirena Deep is one of the deepest known points in the world's oceans, located within the Mariana Trench in the western Pacific Ocean.
  • B. Calypso Deep
    Calypso Deep is the deepest known point in the Mediterranean Sea, located in the Hellenic Trench near Greece.
  • C. Lightwater
    Lightwater is a village and civil parish in the English county of Surrey, known for its residential character and proximity to heathland and countryside.
  • D. The Pit
    The Pit is a famed college basketball arena in Albuquerque, New Mexico, renowned for its intense atmosphere and distinctive sunken design.
  • E. New World
    The New World refers to the Western Hemisphere, especially the Americas, as distinguished from the Old World of Europe, Asia, and Africa.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Life Below Water
Triple: [Sustainable Development Goals, hasGoal, Life Below Water]
Generated description
Life Below Water is a United Nations Sustainable Development Goal focused on conserving and sustainably using the oceans, seas, and marine resources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Life Below Water
Target entity description: Life Below Water is a United Nations Sustainable Development Goal focused on conserving and sustainably using the oceans, seas, and marine resources.
  • A. Sirena Deep
    Sirena Deep is one of the deepest known points in the world's oceans, located within the Mariana Trench in the western Pacific Ocean.
  • B. Calypso Deep
    Calypso Deep is the deepest known point in the Mediterranean Sea, located in the Hellenic Trench near Greece.
  • C. Lightwater
    Lightwater is a village and civil parish in the English county of Surrey, known for its residential character and proximity to heathland and countryside.
  • D. The Pit
    The Pit is a famed college basketball arena in Albuquerque, New Mexico, renowned for its intense atmosphere and distinctive sunken design.
  • E. New World
    The New World refers to the Western Hemisphere, especially the Americas, as distinguished from the Old World of Europe, Asia, and Africa.
  • F. None of above. chosen

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_69a25946a7ac8190a78871c210213272 completed Feb. 28, 2026, 2:56 a.m.
NER Named-entity recognition batch_69a25e0d789881908d6a9a8d6a0d4a6c completed Feb. 28, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69a399a9b5f48190b5807373ed3163e3 completed March 1, 2026, 1:43 a.m.
NEDg Description generation batch_69a39a26127c819085839fe3f2f5707c completed March 1, 2026, 1:45 a.m.
NED2 Entity disambiguation (via description) batch_69a39a676c048190b0ab280ffe729d72 completed March 1, 2026, 1:46 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.