Triple

T10287402
Position Surface form Disambiguated ID Type / Status
Subject Common Customs Tariff E241266 entity
Predicate appliesException P13260 FINISHED
Object preferential trade arrangements 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: preferential trade arrangements | Statement: [Common Customs Tariff, appliesException, preferential trade arrangements]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesException
Context triple: [Common Customs Tariff, appliesException, preferential trade arrangements]
  • A. exception chosen
    Indicates that a particular case does not follow the usual rule, pattern, or condition that applies to others.
  • B. appliesExceptAsProvided
    Indicates that a rule, condition, or provision generally applies, except in specific cases explicitly stated otherwise.
  • C. notableException
    Indicates that something or someone stands out as an unusual or noteworthy deviation from an expected pattern, rule, or general case.
  • D. reasonForException
    Indicates the specific cause or justification for why a normal rule, process, or condition does not apply in a given case.
  • E. appliedAs
    Indicates that one entity submitted itself or was put forward for consideration in a particular role, position, or context relative to another entity.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7ccb7ec8190a538cf279e48116e completed April 7, 2026, 10:09 a.m.
PD Predicate disambiguation batch_69d4d1f117708190928f92ae2611d724 completed April 7, 2026, 9:44 a.m.
Created at: April 6, 2026, 11:40 a.m.