Triple

T17383601
Position Surface form Disambiguated ID Type / Status
Subject Shabak E422630 entity
Predicate abbreviation P43 FINISHED
Object ISA NE NERFINISHED

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: ISA | Statement: [Shabak, abbreviation, ISA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISA
Context triple: [Shabak, abbreviation, ISA]
  • A. ISA
    ISA (Industry Standard Architecture) is an early computer bus standard used in IBM PCs and compatible systems to connect expansion cards and peripherals to the motherboard.
  • B. ISA
    ISA is the acronym for the International Seabed Authority, the intergovernmental organization responsible for regulating mineral-related activities in the international seabed area beyond national jurisdiction.
  • C. ISA
    ISA is the commonly used abbreviation for Integrated Science Assessments, which are comprehensive evaluations of scientific data used to inform environmental and regulatory decisions.
  • D. ISA chosen
    ISA is the common abbreviation for the Israel Security Agency, Israel’s domestic intelligence and security service responsible for counterterrorism and internal security.
  • E. ISA
    ISA is the IATA airport code for Mount Isa Airport, a regional airport serving the mining city of Mount Isa in Queensland, Australia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a87d9948190986021f1fb5a4e00 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:45 a.m.