Triple

T15433803
Position Surface form Disambiguated ID Type / Status
Subject Beats By the Pound E369704 entity
Predicate member P10 FINISHED
Object KLC E372192 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: KLC | Statement: [Beats By the Pound, member, KLC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KLC
Context triple: [Beats By the Pound, member, KLC]
  • A. KLC
    KLC is the ICAO airline designator used for KLM Cityhopper, the regional subsidiary of KLM Royal Dutch Airlines.
  • B. KLC
    KLC is the commonly used abbreviation for the Karnataka Legislative Council, the upper house of the bicameral legislature of the Indian state of Karnataka.
  • C. KLC chosen
    KLC is an American hip-hop producer best known for his work with Master P’s No Limit Records and his influential Southern rap sound.
  • D. KLCQ
    KLCQ is the ICAO airport code for Suwannee County Airport, a public-use airfield serving the Live Oak area in Suwannee County, Florida.
  • E. KLS
    KLS is a research center at Kiel University focused on interdisciplinary life science studies, including molecular biology, medicine, and environmental sciences.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03eda01cc8190843e23b260b8503c completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21a3d1f481908f6795656514b2b4 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.