Triple

T9191733
Position Surface form Disambiguated ID Type / Status
Subject RFC 4175 E220604 entity
Predicate relatedTo P37 FINISHED
Object RTP E123450 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: RTP | Statement: [RFC 4175, relatedTo, RTP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RTP
Context triple: [RFC 4175, relatedTo, RTP]
  • A. RTP chosen
    RTP (Real-time Transport Protocol) is a network protocol designed for delivering audio and video over IP networks in real-time, commonly used in streaming, VoIP, and multimedia communication systems.
  • B. RTP buses
    RTP buses are a publicly operated bus network in Mexico City that provides surface transit services and connections to the city’s metro system.
  • C. RTM
    RTM is the commonly used abbreviation for Rosetta Terminology Mapping, a system for standardizing and aligning terminology across different datasets or domains.
  • D. RTM
    RTM is the IATA airport code for Rotterdam The Hague Airport, a regional international airport serving the Rotterdam–The Hague metropolitan area in the Netherlands.
  • E. SRT
    SRT is a high-performance trim level of Jeep vehicles, featuring upgraded powertrains, sport-tuned components, and enhanced styling.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5c077b4819086c74e91ee4bd75e completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065d5e81c8190b6687999a87fd559 completed April 4, 2026, 1:13 a.m.
Created at: March 30, 2026, 7:24 p.m.