Triple

T14289641
Position Surface form Disambiguated ID Type / Status
Subject Jolof Kingdoms E354273 entity
Predicate hasPart P35 FINISHED
Object Sine E350753 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: Sine | Statement: [Jolof Kingdoms, hasPart, Sine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sine
Context triple: [Jolof Kingdoms, hasPart, Sine]
  • A. Sine chosen
    Sine was a precolonial Serer kingdom in what is now Senegal, known for its rich Serer culture, religious traditions, and resistance to Islamic and later French expansion.
  • B. Sines
    Sines is a coastal town in Portugal known as the birthplace of the famed explorer Vasco da Gama.
  • C. Trigon
    Trigon is a powerful demonic supervillain in the Teen Titans universe, best known as Raven’s tyrannical father and a major cosmic threat.
  • D. SIN
    SIN is the IATA airport code for Singapore Changi Airport, the main international gateway to Singapore and one of the world’s busiest and most acclaimed airports.
  • E. Euler’s identity for sine product
    Euler’s identity for sine product is a classical formula expressing the sine function as an infinite product, foundational in the theory of infinite products and special functions.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6981e9148190baf2ed56a7b7340e completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1e14d4819091c381f96c43c58b completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:11 a.m.