Triple

T7823121
Position Surface form Disambiguated ID Type / Status
Subject Mount Egon E181179 entity
Predicate nearbySettlement P350 FINISHED
Object Maumere E169782 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: Maumere | Statement: [Mount Egon, nearbySettlement, Maumere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maumere
Context triple: [Mount Egon, nearbySettlement, Maumere]
  • A. Maumere chosen
    Maumere is a coastal town and major port on the island of Flores in Indonesia, known as an important regional center and gateway to nearby diving spots and natural attractions.
  • B. Nukulaelae
    Nukulaelae is one of the small coral atolls of Tuvalu in the central Pacific Ocean, home to a traditional Tuvaluan community and culture.
  • C. Mokuleia
    Mokuleia is a quiet coastal community on Oahu’s North Shore known for its scenic beaches, rural atmosphere, and outdoor activities like surfing, hiking, and skydiving.
  • D. Kaikohe
    Kaikohe is a small inland town in New Zealand known as the commercial and service hub of the Far North district.
  • E. Pauanui
    Pauanui is a popular coastal holiday town on New Zealand’s North Island, known for its sandy beach, boating, and relaxed resort atmosphere.
  • 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_69ca8282ccec819083c48efb72d21cf9 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cafa095d7081908b3e492ce58b5d5f completed March 30, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb14a526cc8190a8b1a3179f75ad6c completed March 31, 2026, 12:26 a.m.
Created at: March 30, 2026, 4:42 p.m.