Triple

T9544277
Position Surface form Disambiguated ID Type / Status
Subject Russell Global Index E230241 entity
Predicate hasDataVendorCode P19199 FINISHED
Object RUGL
RUGL is the data vendor code used to identify the Russell Global Index, a comprehensive benchmark covering global equity markets.
 E805824 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: RUGL | Statement: [Russell Global Index, hasDataVendorCode, RUGL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RUGL
Context triple: [Russell Global Index, hasDataVendorCode, RUGL]
  • A. RUG
    RUG is the commonly used abbreviation for the University of Groningen, a major public research university in the Netherlands.
  • B. RÜG
    RÜG is the vehicle registration code used for motor vehicles registered in the district of Vorpommern-Rügen in the German state of Mecklenburg-Vorpommern.
  • C. RGL
    RGL is the IATA airport code for Piloto Civil Norberto Fernández International Airport serving Río Gallegos in southern Argentina.
  • D. RIG
    RIG is the standard abbreviation used for the Latvian professional ice hockey club Dinamo Riga.
  • E. Rugles
    Rugles is a small commune in the Eure department of northern France, known for its rural character and location within the canton of Breteuil.
  • 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: RUGL
Triple: [Russell Global Index, hasDataVendorCode, RUGL]
Generated description
RUGL is the data vendor code used to identify the Russell Global Index, a comprehensive benchmark covering global equity markets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RUGL
Target entity description: RUGL is the data vendor code used to identify the Russell Global Index, a comprehensive benchmark covering global equity markets.
  • A. RUG
    RUG is the commonly used abbreviation for the University of Groningen, a major public research university in the Netherlands.
  • B. RÜG
    RÜG is the vehicle registration code used for motor vehicles registered in the district of Vorpommern-Rügen in the German state of Mecklenburg-Vorpommern.
  • C. RGL
    RGL is the IATA airport code for Piloto Civil Norberto Fernández International Airport serving Río Gallegos in southern Argentina.
  • D. RIG
    RIG is the standard abbreviation used for the Latvian professional ice hockey club Dinamo Riga.
  • E. Rugles
    Rugles is a small commune in the Eure department of northern France, known for its rural character and location within the canton of Breteuil.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98ebd4148190b71b134d7545fe35 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c6cd93c8190ac197afda780ce78 completed April 4, 2026, 5:37 p.m.
NEDg Description generation batch_69d14d44b7f08190b66fecb315b37535 completed April 4, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_69d14e0823e881908ed723d20f14789b completed April 4, 2026, 5:44 p.m.
Created at: March 30, 2026, 8:01 p.m.