Triple

T33027726
Position Surface form Disambiguated ID Type / Status
Subject NLST E845086 entity
Predicate differenceFrom LIST P74132 FINISHED
Object NLST omits file attributes and formatting 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: NLST omits file attributes and formatting | Statement: [NLST, differenceFrom LIST, NLST omits file attributes and formatting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: differenceFrom LIST
Context triple: [NLST, differenceFrom LIST, NLST omits file attributes and formatting]
  • A. differenceFromStates
    Indicates that one state or condition is distinct from, or deviates in some way from, another state or condition.
  • B. differenceDescription chosen
    Indicates a textual explanation that characterizes how two entities differ from each other.
  • C. isDifferenceOf
    Indicates that one quantity or entity represents the result obtained by subtracting one specified quantity or entity from another.
  • D. differIn
    Indicates that two entities are not the same in at least one specified aspect, attribute, or value.
  • E. differenceFromSQL
    Indicates that something differs in behavior, structure, or result from its equivalent in standard SQL.
  • 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_69f34950749c8190ae05cd27adb16d58 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6fb19063c81909466b329655c8583 completed May 3, 2026, 7:36 a.m.
PD Predicate disambiguation batch_69f6f96badb08190994442c2aba840b1 completed May 3, 2026, 7:29 a.m.
Created at: May 1, 2026, 1:23 a.m.