Triple

T15740296
Position Surface form Disambiguated ID Type / Status
Subject NE555 timer E381583 entity
Predicate hasVariant P455 FINISHED
Object TLC555 E381582 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: TLC555 | Statement: [NE555 timer, hasVariant, TLC555]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TLC555
Context triple: [NE555 timer, hasVariant, TLC555]
  • A. NE555 timer
    The NE555 timer is a widely used integrated circuit that provides precise timing, pulse generation, and oscillator functions in countless electronic circuits.
  • B. 555 timer IC chosen
    The 555 timer IC is a widely used integrated circuit that provides precise timing, pulse generation, and oscillator functions in countless electronic circuits.
  • C. LM567
    The LM567 is a tone decoder integrated circuit designed to detect and respond to specific input frequencies in communication and control applications.
  • D. LM723
    LM723 is a classic precision voltage regulator integrated circuit widely used for designing adjustable and fixed power supply regulators.
  • E. Xtime
    Xtime is a Cox Automotive company that provides software solutions to help automotive dealerships manage service scheduling, customer communications, and retention.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd816308190a297986ee7e5554c completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9981e0d081909617b5d686905d3a completed May 9, 2026, 8:30 p.m.
Created at: April 10, 2026, 4:46 a.m.