Triple

T16907641
Position Surface form Disambiguated ID Type / Status
Subject WEB E424602 entity
Predicate successor P78 FINISHED
Object CWEB E95409 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: CWEB | Statement: [WEB, successor, CWEB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CWEB
Context triple: [WEB, successor, CWEB]
  • A. CWEB literate programming system chosen
    The CWEB literate programming system is a software tool created by Donald E. Knuth (with Silvio Levy) that integrates C or C++ source code with richly formatted documentation to produce both compilable programs and high-quality typeset descriptions.
  • B. WEBN
    WEBN is a Cincinnati-based FM radio station best known for its long-running rock format and influential role in the city's music scene.
  • C. CWB
    CWB is the IATA airport code for Curitiba-Afonso Pena International Airport, the main air gateway serving Curitiba in southern Brazil.
  • D. CWB
    CWB is the three-letter National Rail station code for Colwyn Bay railway station in Conwy County Borough, Wales.
  • E. cwm
    cwm is a lightweight, keyboard-centric stacking window manager for X11, known for its simplicity and inclusion as the default in OpenBSD.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3ca39f9b08190b15106c6caf895ec completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc002fac81908b7628d2add1e2dd completed May 10, 2026, 7:26 p.m.
Created at: April 10, 2026, 5:30 a.m.