Triple

T16375335
Position Surface form Disambiguated ID Type / Status
Subject Culcha Vulcha E397664 entity
Predicate hasPart P35 FINISHED
Object Semente E1210633 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: Semente | Statement: [Culcha Vulcha, hasPart, Semente]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Semente
Context triple: [Culcha Vulcha, hasPart, Semente]
  • A. Semente chosen
    "Semente" is a track from the album "Tell Your Friends," likely a jazz or fusion composition associated with contemporary instrumental music.
  • B. The Seed
    "The Seed" is a soulful, genre-blending song by American musician Cody Chesnutt, best known to many through its reworked version "The Seed (2.0)" with The Roots.
  • C. Semence
    The Semence is a river in eastern France that flows through the commune of Charolles in the Saône-et-Loire department.
  • D. Seeds of Yesterday
    Seeds of Yesterday is a 2015 Lifetime television film adaptation of V.C. Andrews’ Dollanganger series, continuing the dark, gothic family saga of the Foxworth clan.
  • E. Sowing
    Sowing is the first book of Charles Dickens's novel "Hard Times," introducing the characters and themes through its focus on the planting of ideas and values that will later bear consequences.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319d6942081909616a2c6efee9967 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c522a7c8190a306b85354a087fd completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:08 a.m.