Triple

T1810132
Position Surface form Disambiguated ID Type / Status
Subject Parallel ATA E40312 entity
Predicate alsoKnownAs P39 FINISHED
Object EIDE E38931 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: EIDE | Statement: [Parallel ATA, alsoKnownAs, EIDE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EIDE
Context triple: [Parallel ATA, alsoKnownAs, EIDE]
  • A. EIDE chosen
    EIDE (Enhanced Integrated Drive Electronics) is an improved version of the IDE interface standard used to connect storage devices like hard drives and optical drives to a computer’s motherboard.
  • B. IDEP
    IDEP is a regional training and research institute under the United Nations Economic Commission for Africa that focuses on economic development and planning in African countries.
  • C. IDA
    IDA is the International Development Association, the World Bank Group’s fund that provides concessional loans and grants to the world’s poorest countries.
  • D. IDT
    IDT is the daylight saving time zone used in Israel, typically observed during the summer months.
  • E. EIDW
    EIDW is the ICAO airport code for Dublin Airport, the main international airport serving Dublin and the Republic of Ireland.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65c461e881908070cb80d9092981 completed March 6, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5e352d88190839cde25e3c07d95 completed March 8, 2026, 5:46 p.m.
Created at: March 4, 2026, 7:32 p.m.