Triple

T15838248
Position Surface form Disambiguated ID Type / Status
Subject ETSI EN 302 307 E384036 entity
Predicate definesCoding P89808 FINISHED
Object BCH E773514 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: BCH | Statement: [ETSI EN 302 307, definesCoding, BCH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BCH
Context triple: [ETSI EN 302 307, definesCoding, BCH]
  • A. BCH
    BCH is a scholarly journal focused on the study of ancient Greek history, archaeology, and philology.
  • B. BCH
    BCH is a leading pediatric medical center and teaching hospital in Boston renowned for its specialized care for children and groundbreaking research.
  • C. BCH chosen
    BCH is the cryptocurrency ticker symbol for Bitcoin Cash, a blockchain-based digital currency that forked from Bitcoin to offer faster and cheaper transactions.
  • D. BCCh
    BCCh is the acronym for the Central Bank of Chile, the country’s autonomous monetary authority responsible for maintaining price stability and financial system soundness.
  • E. BCK
    BCK is the National Rail station code for Buckley railway station in Flintshire, Wales.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e3d48c8190ad0d0af89d062101 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa13a83448190adcad8bb84622e55 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:49 a.m.