Triple

T12617778
Position Surface form Disambiguated ID Type / Status
Subject Kwinti E301297 entity
Predicate sharesHistoricalBackgroundWith P64453 FINISHED
Object Paramaka E301299 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: Paramaka | Statement: [Kwinti, sharesHistoricalBackgroundWith, Paramaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paramaka
Context triple: [Kwinti, sharesHistoricalBackgroundWith, Paramaka]
  • A. Paramaka chosen
    Paramaka are a Maroon community in Suriname descended from escaped African slaves, known for their distinct Afro-Surinamese culture and traditions.
  • B. Paemani
    The Paemani were an ancient Belgic tribe of northeastern Gaul, known from Roman-era sources as part of the broader Celtic and Germanic cultural milieu.
  • C. Wonokitri
    Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
  • D. Kamsa
    Kamsa is a tyrannical king in Hindu mythology, best known as the evil uncle and nemesis of Lord Krishna.
  • E. Matareya
    Matareya is a district in northeastern Cairo, Egypt, known for its ancient Heliopolis archaeological remains and historic religious sites.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96411d87481909127e81755f23964 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6719488748190a07bc7335d62b8e8 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:13 p.m.