Triple

T5771457
Position Surface form Disambiguated ID Type / Status
Subject 3GPP TS 29-series E127338 entity
Predicate definesInterfaceFor P12981 FINISHED
Object UPF
UPF (User Plane Function) is a core network component in 5G architecture responsible for handling user data traffic, including packet routing, forwarding, and policy enforcement.
 E545191 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: UPF | Statement: [3GPP TS 29-series, definesInterfaceFor, UPF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UPF
Context triple: [3GPP TS 29-series, definesInterfaceFor, UPF]
  • A. Waco UPF-7
    The Waco UPF-7 is a 1930s American open-cockpit biplane trainer widely used for civilian flight instruction and sport flying.
  • B. UFP
    UFP is the common abbreviation for the United Federation of Planets, the interstellar federal republic central to the Star Trek universe.
  • C. UV
    UV is a major Spanish public research university located in Valencia, known for its wide range of academic programs and historical significance.
  • D. UPP
    UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
  • E. UPC
    UPC is the commonly used acronym for the Polytechnic University of Catalonia, a leading Spanish public institution specializing in engineering, architecture, and technology.
  • 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: UPF
Triple: [3GPP TS 29-series, definesInterfaceFor, UPF]
Generated description
UPF (User Plane Function) is a core network component in 5G architecture responsible for handling user data traffic, including packet routing, forwarding, and policy enforcement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UPF
Target entity description: UPF (User Plane Function) is a core network component in 5G architecture responsible for handling user data traffic, including packet routing, forwarding, and policy enforcement.
  • A. Waco UPF-7
    The Waco UPF-7 is a 1930s American open-cockpit biplane trainer widely used for civilian flight instruction and sport flying.
  • B. UFP
    UFP is the common abbreviation for the United Federation of Planets, the interstellar federal republic central to the Star Trek universe.
  • C. UV
    UV is a major Spanish public research university located in Valencia, known for its wide range of academic programs and historical significance.
  • D. UPP
    UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
  • E. UPC
    UPC is the commonly used acronym for the Polytechnic University of Catalonia, a leading Spanish public institution specializing in engineering, architecture, and technology.
  • 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_69c00834f6308190851b0abeddd8ed7e completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0335f23c081909b35020801e3ef12 completed March 22, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e648aa881908411a00d48998ecc completed March 22, 2026, 11:42 p.m.
NEDg Description generation batch_69c089433c488190b617d0106ba5eba9 completed March 23, 2026, 12:28 a.m.
NED2 Entity disambiguation (via description) batch_69c0899063ec8190bb24d9f0d317ffa6 completed March 23, 2026, 12:30 a.m.
Created at: March 22, 2026, 3:50 p.m.