Triple

T12617748
Position Surface form Disambiguated ID Type / Status
Subject Matawai E301296 entity
Predicate relatedGroup P37 FINISHED
Object Kwinti E301297 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: Kwinti | Statement: [Matawai, relatedGroup, Kwinti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kwinti
Context triple: [Matawai, relatedGroup, Kwinti]
  • A. Kwinti chosen
    Kwinti are a Maroon Afro-Surinamese community in Suriname, known for their distinct culture, history of resistance to slavery, and unique linguistic and religious traditions.
  • B. Kwintsheul
    Kwintsheul is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the Westland region.
  • C. Quint
    Quint is the grizzled, obsessive shark hunter in the film "Jaws," known for his monologue about the USS Indianapolis and his fatal showdown with the great white shark.
  • D. Quintal
    Quintal is a small commune in the Haute-Savoie department of southeastern France, situated near Annecy in the French Alps.
  • E. Quantez
    Quantez is a 1957 American Western film starring Fred MacMurray as a weary outlaw holed up in a ghost town on the Mexican border.
  • 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_69d960c63ea48190ae1aae9280a023a6 completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6686d770881909850ffaf820171d9 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:13 p.m.