Triple

T13437356
Position Surface form Disambiguated ID Type / Status
Subject Vailima E320264 entity
Predicate locatedNear P294 FINISHED
Object Apia E66825 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: Apia | Statement: [Vailima, locatedNear, Apia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apia
Context triple: [Vailima, locatedNear, Apia]
  • A. Apia
    Apia is an Australian insurance brand specializing in products and services tailored primarily for people over 50.
  • B. Apia chosen
    Apia is the capital and largest city of Samoa, serving as its main political, economic, and cultural hub on the island of Upolu.
  • C. Nukuʻalofa
    Nukuʻalofa is the capital and largest city of Tonga, located on the island of Tongatapu in the South Pacific.
  • D. Tulagi
    Tulagi is a small island in the Solomon Islands that gained historical significance as a strategic battleground during World War II’s Guadalcanal campaign.
  • E. Vaitape
    Vaitape is the main village and commercial hub of Bora Bora in French Polynesia, serving as its primary port and population center.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee42a8c8190a85716b4a6db335e completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7399215bc8190b846906b0f081e7f completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:40 p.m.