Triple

T1503382
Position Surface form Disambiguated ID Type / Status
Subject Cisco IOS E33845 entity
Predicate supportsProtocol P203 FINISHED
Object NTP E42445 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: NTP | Statement: [Cisco IOS, supportsProtocol, NTP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NTP
Context triple: [Cisco IOS, supportsProtocol, NTP]
  • A. Network Time Protocol chosen
    Network Time Protocol (NTP) is a widely used networking protocol designed to synchronize the clocks of computers and devices over packet-switched, variable-latency data networks.
  • B. PTP
    PTP is a network-based time synchronization protocol defined by the IEEE 1588 standard that enables highly precise clock alignment across distributed systems.
  • C. NTAS
    NTAS is the U.S. Department of Homeland Security’s public alert system that communicates current terrorism threat levels and related security information.
  • D. NTL
    NTL was a major UK cable television and telecommunications company that became part of Virgin Media following a series of mergers and rebrandings.
  • E. The Time Regulation Institute
    The Time Regulation Institute is a satirical novel by Turkish author Ahmet Hamdi Tanpınar that critiques modernization and bureaucracy in early 20th-century Turkey.
  • 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_69a885f352a4819099b24ff15489dede completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a8872fae4c81908e7d6961e6c5fa96 completed March 4, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1cb578e4819082d254462e10e4f0 completed March 8, 2026, 6:52 a.m.
Created at: March 4, 2026, 7:24 p.m.