Triple

T11466597
Position Surface form Disambiguated ID Type / Status
Subject Ziehl–Neelsen stain E271795 entity
Predicate negativeResultAppearance P99729 FINISHED
Object blue background 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: blue background | Statement: [Ziehl–Neelsen stain, negativeResultAppearance, blue background]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: negativeResultAppearance
Context triple: [Ziehl–Neelsen stain, negativeResultAppearance, blue background]
  • A. negativeMarking
    Indicates that an entity assigns or receives a penalty, deduction, or unfavorable score in response to a particular action, performance, or condition.
  • B. negativeType
    Indicates that one entity is classified as a negative, undesirable, or disfavored type in relation to another or within a given context.
  • C. negativeAcknowledgmentCharacter
    Indicates that one character responds with disagreement, refusal, or denial to another character’s statement, request, or action.
  • D. negativeFormulation
    Indicates that the associated statement, condition, or requirement is expressed in a negated or prohibitive form rather than an affirmative one.
  • E. negativePhaseAssociatedWith
    Indicates an association between something and a negative or unfavorable phase, state, or stage in a process or condition.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f5eb988190b309b8e309f6d1a5 completed April 9, 2026, 10:06 p.m.
PD Predicate disambiguation batch_69d80867ff248190bb157fa9e355353b completed April 9, 2026, 8:13 p.m.
PDg Predicate description generation batch_69d822ef46988190a1c360da4ee14fef completed April 9, 2026, 10:06 p.m.
Created at: April 8, 2026, 9:35 p.m.