Triple

T5480775
Position Surface form Disambiguated ID Type / Status
Subject PCRF E123460 entity
Predicate usesInterface P11686 FINISHED
Object Sy
Sy is a Diameter-based interface in telecommunications networks used for policy and charging control between the PCRF and online charging systems.
 E523086 NE FINISHED

How this triple was built (4 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: Sy | Statement: [PCRF, usesInterface, Sy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sy
Context triple: [PCRF, usesInterface, Sy]
  • A. SY
    SY is a UK postcode area covering Shrewsbury and surrounding parts of Shropshire and nearby counties in western England and the Welsh border region.
  • B. Syn
    Syn is a goddess in Norse mythology associated with refusal, defense, and the protection of doors and legal matters among the Aesir.
  • C. YS
    YS is the common abbreviation for the Tokyo Yakult Swallows, a professional baseball team in Japan’s Nippon Professional Baseball league.
  • D. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • E. SJ
    SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sy
Triple: [PCRF, usesInterface, Sy]
Generated description
Sy is a Diameter-based interface in telecommunications networks used for policy and charging control between the PCRF and online charging systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sy
Target entity description: Sy is a Diameter-based interface in telecommunications networks used for policy and charging control between the PCRF and online charging systems.
  • A. SY
    SY is a UK postcode area covering Shrewsbury and surrounding parts of Shropshire and nearby counties in western England and the Welsh border region.
  • B. Syn
    Syn is a goddess in Norse mythology associated with refusal, defense, and the protection of doors and legal matters among the Aesir.
  • C. YS
    YS is the common abbreviation for the Tokyo Yakult Swallows, a professional baseball team in Japan’s Nippon Professional Baseball league.
  • D. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • E. SJ
    SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
  • F. None of above. chosen

Provenance (5 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd924a2eb08190b759b23a6eab5e0a completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48a2880c8190ad76cf8c3862aede completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf4a95375881909ba730ad108eee8b completed March 22, 2026, 1:49 a.m.
NED2 Entity disambiguation (via description) batch_69bf4afb47a88190a66de6b6c7d5c241 completed March 22, 2026, 1:50 a.m.
Created at: March 20, 2026, 2:09 p.m.