Triple

T2779439
Position Surface form Disambiguated ID Type / Status
Subject Analytical Writing E61655 entity
Predicate doesNotAssess P7357 FINISHED
Object specific content knowledge 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: specific content knowledge | Statement: [Analytical Writing, doesNotAssess, specific content knowledge]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: doesNotAssess
Context triple: [Analytical Writing, doesNotAssess, specific content knowledge]
  • A. doesNotDetermine
    Indicates that one entity or factor does not uniquely fix, decide, or specify the state, value, or outcome of another.
  • B. doesNotConsider
    Indicates that one entity fails or chooses not to take another entity or factor into account when forming judgments, decisions, or actions.
  • C. doesNot
    Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
  • D. doesNotMeasure chosen
    Indicates that an entity is not used to quantify, assess, or determine the value or extent of another entity or property.
  • E. doesNotUse
    Indicates that one entity intentionally refrains from employing, utilizing, or relying on another entity, method, or resource.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddceb9d88190961e30d521a21552 completed March 7, 2026, 8:11 a.m.
PD Predicate disambiguation batch_69abdd00b65c8190a8ea444308c4fa2b completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:57 p.m.