Triple

T10141814
Position Surface form Disambiguated ID Type / Status
Subject RFC 1541 E231599 entity
Predicate basedOn P98 FINISHED
Object Bootstrap Protocol E34939 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: Bootstrap Protocol | Statement: [RFC 1541, basedOn, Bootstrap Protocol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bootstrap Protocol
Context triple: [RFC 1541, basedOn, Bootstrap Protocol]
  • A. BOOTP chosen
    BOOTP (Bootstrap Protocol) is an older network protocol used to automatically assign IP addresses and boot configuration to diskless or thin-client machines over a network.
  • B. TCP/IP
    TCP/IP is the fundamental communication protocol suite that enables data transmission and networking across the internet and most modern computer networks.
  • C. Internet Protocol
    Internet Protocol is the core networking protocol that defines how data packets are addressed and routed across interconnected computer networks, forming the foundation of the modern internet.
  • D. DHCP
    DHCP (Dynamic Host Configuration Protocol) is a network management protocol that automatically assigns IP addresses and other configuration parameters to devices on an IP network.
  • E. Blueprint protocol
    Blueprint protocol is Bryan Johnson’s highly regimented longevity and health-optimization regimen that uses data-driven nutrition, exercise, sleep, and supplementation to slow biological aging.
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb2599e0819090184631e481310c completed April 2, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e60e51488190a6097837eb3ce18a completed April 5, 2026, 10:45 p.m.
Created at: March 30, 2026, 9:07 p.m.