Triple

T21042945
Position Surface form Disambiguated ID Type / Status
Subject Soppeng E518373 entity
Predicate capitalRegion P3877 FINISHED
Object Watansoppeng NE NERFINISHED

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: Watansoppeng | Statement: [Soppeng, capitalRegion, Watansoppeng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Watansoppeng
Context triple: [Soppeng, capitalRegion, Watansoppeng]
  • A. Watansoppeng chosen
    Watansoppeng is a town in South Sulawesi, Indonesia, historically known as the political and cultural center of the former Kingdom of Soppeng.
  • B. Koekange
    Koekange is a village in the Dutch province of Drenthe, located within the municipality of De Wolden.
  • C. Wahoowa
    Wahoowa is a spirited cheer and rallying cry closely associated with the University of Virginia and its sports teams, the Cavaliers (often called the Hoos).
  • D. Pipiriki
    Pipiriki is a small rural settlement in New Zealand’s central North Island, known as a gateway to the Whanganui River and Whanganui National Park.
  • E. Wazwan
    Wazwan is a lavish multi-course feast from Kashmir, renowned for its rich meat-based dishes and central role in weddings and special celebrations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcf1950081908ff9fe8719e1e81b completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:17 p.m.