Triple

T4260506
Position Surface form Disambiguated ID Type / Status
Subject NRZI E96090 entity
Predicate relatedTo P37 FINISHED
Object Manchester code E74022 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: Manchester code | Statement: [NRZI, relatedTo, Manchester code]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manchester code
Context triple: [NRZI, relatedTo, Manchester code]
  • A. Manchester encoding chosen
    Manchester encoding is a digital line code that represents each data bit with a transition in the middle of the bit period, providing both clock and data synchronization on the same signal.
  • B. Scott encoding
    Scott encoding is a method in lambda calculus for representing algebraic data types and their pattern matching behavior using higher-order functions.
  • C. Morse code
    Morse code is a system of encoding text characters as sequences of short and long signals (dots and dashes) used historically for long-distance telegraph and radio communication.
  • D. Wiegand
    Wiegand is a surname of German origin, often appearing as a variant of the name Wigand.
  • E. CRC
    CRC is the widely ratified United Nations human rights treaty that sets out the civil, political, economic, social, and cultural rights of all children.
  • 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_69b3454095ac81909c2494f7ff294af1 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34f8103b48190934a810faafa6cb7 completed March 12, 2026, 11:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b78c93c48190a4274f0de3fc2d25 completed March 14, 2026, 7:31 p.m.
Created at: March 12, 2026, 11:06 p.m.