Triple

T3351748
Position Surface form Disambiguated ID Type / Status
Subject Gilbert Islands E70511 entity
Predicate hasIsland P970 FINISHED
Object Abemama E93413 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: Abemama | Statement: [Gilbert Islands, hasIsland, Abemama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abemama
Context triple: [Gilbert Islands, hasIsland, Abemama]
  • A. Abemama chosen
    Abemama is a central Pacific atoll in the island nation of Kiribati, known for its lagoon, traditional villages, and role in the country’s colonial and wartime history.
  • B. Mameyal
    Mameyal is a coastal barrio (neighborhood) of the municipality of Dorado in Puerto Rico, known for its seaside setting and local community character.
  • C. Amaala
    Amaala is a luxury tourism and wellness destination being developed on Saudi Arabia’s Red Sea coast as part of the country’s economic diversification and high-end tourism strategy.
  • D. Mamayi
    Mamayi was a powerful 14th-century military and political leader of the Golden Horde who played a central role in its internal power struggles and conflicts with emerging Russian principalities.
  • E. Amay
    Amay is a municipality in the Walloon Region of Belgium, located in the province of Liège along the Meuse River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb221a7d8819086cd0f826eca0fe8 completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3252f3f248190bb61db5c4fd2781a completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:12 p.m.