Triple

T9313147
Position Surface form Disambiguated ID Type / Status
Subject G-root E224052 entity
Predicate hasDNSRootLetter P17387 FINISHED
Object G 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: G | Statement: [G-root, hasDNSRootLetter, G]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDNSRootLetter
Context triple: [G-root, hasDNSRootLetter, G]
  • A. hasTopLevelDomain
    Indicates that one entity (typically a website, domain name, or internet resource) is associated with a specific top-level domain (such as .com, .org, or .uk).
  • B. hasLetter chosen
    Indicates that one entity contains, includes, or is associated with a specific letter or character.
  • C. hasInitialLetters
    Indicates that one entity’s initial letters or acronym are derived from or correspond to the other entity.
  • D. eachStanzaBeginsWithLetterOf
    Indicates that every stanza in a text starts with a specific given letter.
  • E. hasWellAtRoot
    Indicates that an entity possesses or has a well located at its root or base.
  • F. None of above.

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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd20b048a081909fd7ec0b6b863063 completed April 1, 2026, 1:42 p.m.
PD Predicate disambiguation batch_69cc7a61e9a4819096eb014f3791ef2e completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:37 p.m.