Triple

T12322095
Position Surface form Disambiguated ID Type / Status
Subject Amazon CloudFront E293753 entity
Predicate integratesWith P1075 FINISHED
Object AWS Shield E293780 NE 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: AWS Shield | Statement: [Amazon CloudFront, integratesWith, AWS Shield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AWS Shield
Context triple: [Amazon CloudFront, integratesWith, AWS Shield]
  • A. AWS Shield chosen
    AWS Shield is a managed distributed denial-of-service (DDoS) protection service that safeguards applications running on Amazon Web Services from malicious traffic and downtime.
  • B. Cloud Armor
    Cloud Armor is Google Cloud’s distributed web application firewall and DDoS protection service that helps secure applications and services from online attacks.
  • C. AWS WAF
    AWS WAF is a cloud-based web application firewall service that helps protect web applications and APIs from common web exploits and bots.
  • D. Alibaba Cloud Security Center
    Alibaba Cloud Security Center is a cloud-native security platform that provides threat detection, vulnerability management, and protection for workloads running on Alibaba Cloud.
  • E. Zscaler
    Zscaler is a cloud-based information security company known for providing secure access and zero-trust networking solutions to enterprises worldwide.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4d7dac81909ff10e64e229ef33 completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e8aa94881908e4c184062037ab5 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.