Triple

T17184884
Position Surface form Disambiguated ID Type / Status
Subject Ministry E417078 entity
Predicate genre P14 FINISHED
Object EBM E399046 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: EBM | Statement: [Ministry, genre, EBM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EBM
Context triple: [Ministry, genre, EBM]
  • A. EBM chosen
    EBM (Electronic Body Music) is a hard-edged electronic music genre that emerged in the early 1980s, combining industrial, synth-punk, and dance music into a driving, rhythmic style.
  • B. EMB
    EMB is the Environmental Management Bureau, a government agency responsible for formulating and enforcing environmental policies, regulations, and programs.
  • C. EBI
    EBI is a scoring system used to evaluate and rank conservation practices and land enrollment proposals based on their environmental benefits.
  • D. EBE
    EBE is the vehicle registration code used for cars registered in the Ebersberg district of Bavaria, Germany.
  • E. EKBI
    EKBI is the ICAO airport code for Billund Airport, a major international airport in Denmark serving the Jutland region and nearby attractions like Legoland.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42d9556c881908ccaee4ef77dbe1f completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fcc424081908a7e74df0523443e completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:37 a.m.