Triple

T3351750
Position Surface form Disambiguated ID Type / Status
Subject Gilbert Islands E70511 entity
Predicate hasIsland P970 FINISHED
Object Tabiteuea E112107 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: Tabiteuea | Statement: [Gilbert Islands, hasIsland, Tabiteuea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tabiteuea
Context triple: [Gilbert Islands, hasIsland, Tabiteuea]
  • A. Tabiteuea chosen
    Tabiteuea is a large coral atoll in the Gilbert Islands of the Pacific nation of Kiribati, known for its traditional culture and relatively low level of tourism development.
  • B. Talagante
    Talagante is a commune and town in central Chile, located southwest of Santiago within the Santiago Metropolitan Region.
  • C. Gannat
    Gannat is a small town in central France known for its rich paleontological heritage and traditional cultural festivals.
  • D. Thebae
    Thebae is the Latin name for the ancient Egyptian city of Thebes, a major religious and political center on the Nile known for its temples and royal necropolis.
  • E. Arcahaie
    Arcahaie is a coastal commune in western Haiti historically known as the birthplace of the Haitian flag.
  • 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.