Triple

T18754997
Position Surface form Disambiguated ID Type / Status
Subject Amber E458626 entity
Predicate hasVariantSpelling P457 FINISHED
Object Ambar 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: Ambar | Statement: [Amber, hasVariantSpelling, Ambar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ambar
Context triple: [Amber, hasVariantSpelling, Ambar]
  • A. Ambar chosen
    Ambar is a town located in the Mohmand region of Khyber Pakhtunkhwa in northwestern Pakistan.
  • B. Magarima
    Magarima is a small town in Papua New Guinea’s Hela Province, serving as a local administrative and service center for surrounding rural communities.
  • C. Ambo
    Ambo, also known as Ovambo, refers to a Bantu ethnic group primarily inhabiting northern Namibia and southern Angola, known for their rich cultural traditions and historical kingdoms.
  • D. Ambo
    Ambo is a coastal village on Tarawa Atoll in Kiribati, known for its role as a small residential and administrative community in the central Pacific.
  • E. Ambo
    Ambo is a prominent town in central Ethiopia’s Oromia Region, known for its natural mineral springs and role as a local economic and educational center.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579f084208190a4b3563d47154e69 completed April 20, 2026, 12:57 a.m.
Created at: April 10, 2026, 11:51 a.m.