Triple

T14735978
Position Surface form Disambiguated ID Type / Status
Subject Majene Regency E346208 entity
Predicate capital P234 FINISHED
Object Majene E318260 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: Majene | Statement: [Majene Regency, capital, Majene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Majene
Context triple: [Majene Regency, capital, Majene]
  • A. Majene chosen
    Majene is a coastal town and regency capital in West Sulawesi, Indonesia, known for its fishing industry and role as a regional administrative center.
  • B. Mangini
    Mangini is an Italian surname most notably associated with former NFL head coach and analyst Eric Mangini.
  • C. Maasara
    Maasara is an industrial and residential district in the Greater Cairo area of Egypt, known for its factories and proximity to the Nile.
  • D. Munja
    Munja, also known as Vakpati Munja, was a prominent 10th-century Paramara king of Malwa celebrated for his military campaigns, patronage of learning, and contributions to early medieval Indian culture.
  • E. Muri
    Muri is a coastal village and popular tourist area on the island of Rarotonga in the Cook Islands, known for its picturesque lagoon and beaches.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73114cc819088e1101b689fc70b completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb8e0d488190851d73b75ba4c0a6 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.