Triple

T187772
Position Surface form Disambiguated ID Type / Status
Subject 3rd Generation Partnership Project E4019 entity
Predicate hasWorkingGroup P1382 FINISHED
Object RAN
RAN is the 3GPP working group responsible for specifying the radio access network technologies used in mobile communication systems such as LTE and 5G.
 E23872 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: RAN | Statement: [3rd Generation Partnership Project, hasWorkingGroup, RAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RAN
Context triple: [3rd Generation Partnership Project, hasWorkingGroup, RAN]
  • A. Runasimi
    Runasimi is the Indigenous Quechuan language family of the Andes, historically associated with the Inca Empire and still widely spoken across several South American countries.
  • B. RSN
    RSN is the common abbreviation for Red Sox Nation, the passionate fan base of Major League Baseball’s Boston Red Sox.
  • C. RKKA
    RKKA is the Russian abbreviation for the Workers' and Peasants' Red Army, the Soviet Union's military force from the Russian Civil War through World War II.
  • D. RALE
    RALE is the station code for Alewife, the northern terminus of Boston’s MBTA Red Line rapid transit service.
  • E. Namba
    Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
  • 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: RAN
Triple: [3rd Generation Partnership Project, hasWorkingGroup, RAN]
Generated description
RAN is the 3GPP working group responsible for specifying the radio access network technologies used in mobile communication systems such as LTE and 5G.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RAN
Target entity description: RAN is the 3GPP working group responsible for specifying the radio access network technologies used in mobile communication systems such as LTE and 5G.
  • A. Runasimi
    Runasimi is the Indigenous Quechuan language family of the Andes, historically associated with the Inca Empire and still widely spoken across several South American countries.
  • B. RSN
    RSN is the common abbreviation for Red Sox Nation, the passionate fan base of Major League Baseball’s Boston Red Sox.
  • C. RKKA
    RKKA is the Russian abbreviation for the Workers' and Peasants' Red Army, the Soviet Union's military force from the Russian Civil War through World War II.
  • D. RALE
    RALE is the station code for Alewife, the northern terminus of Boston’s MBTA Red Line rapid transit service.
  • E. Namba
    Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
  • 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25bc834388190a93ec1ab0d5946de completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a30287094c8190ad4669e856a29f6c completed Feb. 28, 2026, 2:58 p.m.
NEDg Description generation batch_69a3047bf9588190a147cea4f7b74f46 completed Feb. 28, 2026, 3:06 p.m.
NED2 Entity disambiguation (via description) batch_69a304fdf7888190b0e14ca4eeffe397 completed Feb. 28, 2026, 3:08 p.m.
Created at: Feb. 28, 2026, 2:40 a.m.