Triple

T21091510
Position Surface form Disambiguated ID Type / Status
Subject RFC 761 E519648 entity
Predicate contains P35 FINISHED
Object Postel's law 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: Postel's law | Statement: [RFC 761, contains, Postel's law]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Postel's law
Context triple: [RFC 761, contains, Postel's law]
  • A. Postel’s law chosen
    Postel’s law is a design principle in computing and networking that advises systems to be conservative in what they send and liberal in what they accept, promoting robustness and interoperability.
  • B. Cunningham's Law
    Cunningham's Law is an internet adage stating that the best way to get the right answer online is not to ask a question, but to post the wrong answer.
  • C. Linus’s Law
    Linus’s Law is the open-source software development principle that “given enough eyeballs, all bugs are shallow,” emphasizing the power of many reviewers to quickly find and fix defects.
  • D. Kluge's law
    Kluge's law is a proposed sound law in Proto-Germanic historical linguistics that explains the development of certain geminate consonants from earlier consonant clusters.
  • E. Postel
    Postel is a surname most prominently associated with Jon Postel, a pioneering computer scientist and key architect of the early Internet.
  • 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7094f6ebc8190a90b014755a9d4a6 completed April 21, 2026, 5:21 a.m.
Created at: April 16, 2026, 2:51 p.m.