Triple

T33029007
Position Surface form Disambiguated ID Type / Status
Subject comp.lang.c E845113 entity
Predicate hasFAQ P193553 FINISHED
Object comp.lang.c FAQ LITERAL 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: comp.lang.c FAQ | Statement: [comp.lang.c, hasFAQ, comp.lang.c FAQ]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFAQ
Context triple: [comp.lang.c, hasFAQ, comp.lang.c FAQ]
  • A. hasKeyQuestion
    Indicates that one entity possesses or is associated with a primary or central question relevant to another entity.
  • B. canAnswerQuestionsIn
    Indicates that an entity has the ability to answer questions within a specified context, domain, or environment.
  • C. hasClarificationsBy
    Indicates that one entity provides additional explanations, details, or disambiguation for another entity.
  • D. canAnswerQuestions
    Indicates that an entity has the ability or capacity to respond correctly or appropriately to questions.
  • E. canAsk
    Indicates that one entity has the ability or permission to pose a question or make a request to another entity.
  • F. None of above. chosen

Provenance (4 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_69f34950749c8190ae05cd27adb16d58 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fd49f6dbac81909744373a357b7982 completed May 8, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69fd48ed68f481908374183c66a6b055 completed May 8, 2026, 2:22 a.m.
PDg Predicate description generation batch_69fd49f612a4819096fe7d5a3bb439ba completed May 8, 2026, 2:27 a.m.
Created at: May 1, 2026, 1:24 a.m.