Triple

T15334081
Position Surface form Disambiguated ID Type / Status
Subject Mortlock Islands E366614 entity
Predicate hasIsland P970 FINISHED
Object Satawan
Satawan is a low-lying coral atoll in the Mortlock Islands of Chuuk State, Federated States of Micronesia, known for its traditional seafaring culture and remote Pacific setting.
 E1152288 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: Satawan | Statement: [Mortlock Islands, hasIsland, Satawan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Satawan
Context triple: [Mortlock Islands, hasIsland, Satawan]
  • A. Sarayan
    Sarayan is a small city in eastern Iran known as an administrative and agricultural center within South Khorasan Province.
  • B. Sheshatshiu
    Sheshatshiu is a principal Innu First Nations community located in central Labrador, Canada.
  • C. Uma
    Uma is a central antagonist in Disney's "Descendants" franchise, known as the ambitious and strong-willed daughter of Ursula who leads a pirate crew on the Isle of the Lost.
  • D. Uma
    Uma is an Austronesian language spoken primarily in Central Sulawesi, Indonesia.
  • E. Uma
    Uma is a Bengali film directed by Srijit Mukherji, inspired by a real-life story of a terminally ill girl whose father recreates the Durga Puja festival early so she can experience it.
  • 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: Satawan
Triple: [Mortlock Islands, hasIsland, Satawan]
Generated description
Satawan is a low-lying coral atoll in the Mortlock Islands of Chuuk State, Federated States of Micronesia, known for its traditional seafaring culture and remote Pacific setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Satawan
Target entity description: Satawan is a low-lying coral atoll in the Mortlock Islands of Chuuk State, Federated States of Micronesia, known for its traditional seafaring culture and remote Pacific setting.
  • A. Sarayan
    Sarayan is a small city in eastern Iran known as an administrative and agricultural center within South Khorasan Province.
  • B. Sheshatshiu
    Sheshatshiu is a principal Innu First Nations community located in central Labrador, Canada.
  • C. Uma
    Uma is an Austronesian language spoken primarily in Central Sulawesi, Indonesia.
  • D. Uma
    Uma is a central antagonist in Disney's "Descendants" franchise, known as the ambitious and strong-willed daughter of Ursula who leads a pirate crew on the Isle of the Lost.
  • E. Uma
    Uma is a Bengali film directed by Srijit Mukherji, inspired by a real-life story of a terminally ill girl whose father recreates the Durga Puja festival early so she can experience it.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e03c5f081908e4d14dbdbc7f7a6 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ee7480819080133a9910a2bf52 completed May 9, 2026, 9:44 a.m.
NEDg Description generation batch_69ff05fbf6e481909727758ae2699bad completed May 9, 2026, 10:01 a.m.
NED2 Entity disambiguation (via description) batch_69ff06e098cc8190ab67143071bca1dc completed May 9, 2026, 10:05 a.m.
Created at: April 10, 2026, 3:17 a.m.