Triple

T9344545
Position Surface form Disambiguated ID Type / Status
Subject Ellice Islands E224851 entity
Predicate hasIsland P970 FINISHED
Object Nanumanga
Nanumanga is a small coral atoll and one of the islands of the Pacific island nation of Tuvalu.
 E792849 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: Nanumanga | Statement: [Ellice Islands, hasIsland, Nanumanga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nanumanga
Context triple: [Ellice Islands, hasIsland, Nanumanga]
  • A. Mangini
    Mangini is an Italian surname most notably associated with former NFL head coach and analyst Eric Mangini.
  • B. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • C. Tantamani
    Tantamani was a Kushite king of the 25th Dynasty of Egypt, known for his brief attempt to restore Nubian control over Egypt before being driven back by the Assyrians.
  • D. Tominanga
    Tominanga is a dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
  • E. Nawuli
    Nawuli is an alternative name for the Nawuri language, a Guang language spoken primarily in parts of Ghana.
  • 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: Nanumanga
Triple: [Ellice Islands, hasIsland, Nanumanga]
Generated description
Nanumanga is a small coral atoll and one of the islands of the Pacific island nation of Tuvalu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nanumanga
Target entity description: Nanumanga is a small coral atoll and one of the islands of the Pacific island nation of Tuvalu.
  • A. Mangini
    Mangini is an Italian surname most notably associated with former NFL head coach and analyst Eric Mangini.
  • B. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • C. Tantamani
    Tantamani was a Kushite king of the 25th Dynasty of Egypt, known for his brief attempt to restore Nubian control over Egypt before being driven back by the Assyrians.
  • D. Tominanga
    Tominanga is a dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
  • E. Nawuli
    Nawuli is an alternative name for the Nawuri language, a Guang language spoken primarily in parts of Ghana.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f0ce7b881908714ab526d94fa1d completed April 1, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e41ccdcc8190b2939716984b2c7b completed April 4, 2026, 10:12 a.m.
NEDg Description generation batch_69d0e573af788190be4baaa3afb87ca2 completed April 4, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_69d0e607944c81909a421828595cd793 completed April 4, 2026, 10:20 a.m.
Created at: March 30, 2026, 7:40 p.m.