Triple

T8486663
Position Surface form Disambiguated ID Type / Status
Subject Content-Encoding E200847 entity
Predicate mustNotConflictWith P4897 FINISHED
Object Transfer-Encoding semantics 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: Transfer-Encoding semantics | Statement: [Content-Encoding, mustNotConflictWith, Transfer-Encoding semantics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mustNotConflictWith
Context triple: [Content-Encoding, mustNotConflictWith, Transfer-Encoding semantics]
  • A. conflictWith chosen
    Indicates that two entities are in opposition or disagreement, such that their goals, actions, or states are incompatible or interfere with each other.
  • B. mustAvoid
    Indicates that one entity is required to stay away from, not engage with, or prevent interaction with another entity or condition.
  • C. triggersConflict
    Indicates that one entity initiates or causes a dispute, clash, or incompatibility to arise with another entity or within a system.
  • D. conflictRequirement
    Indicates that one requirement is incompatible with or prevents the fulfillment of another requirement.
  • E. cannotBeUsedWithout
    Indicates that one entity is dependent on another such that it cannot function, operate, or be utilized unless the other entity is also present or in use.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53c4d608190a766c0e919a4b96f completed March 31, 2026, 3:16 p.m.
PD Predicate disambiguation batch_69cbd107633c8190a36ba50e07876918 completed March 31, 2026, 1:49 p.m.
Created at: March 30, 2026, 6:13 p.m.