Triple

T9544166
Position Surface form Disambiguated ID Type / Status
Subject Russell 2000 Index E230238 entity
Predicate alsoKnownAs P39 FINISHED
Object RUT
RUT is the ticker symbol for the Russell 2000 Index, a major U.S. stock market index tracking the performance of approximately 2,000 small-cap companies.
 E805823 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: RUT | Statement: [Russell 2000 Index, alsoKnownAs, RUT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RUT
Context triple: [Russell 2000 Index, alsoKnownAs, RUT]
  • A. 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.
  • B. RÜD
    RÜD is the German vehicle registration code for the Rheingau-Taunus-Kreis district in the state of Hesse.
  • C. RUG
    RUG is the commonly used abbreviation for the University of Groningen, a major public research university in the Netherlands.
  • D. ROLT
    ROLT is the acronym for the Regional Organizations Liaison Team, a group that coordinates and facilitates communication and collaboration among various regional organizations.
  • E. RJT
    RJT is the IATA airport code assigned to Iruma Air Base, a military airfield in Saitama Prefecture, Japan.
  • 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: RUT
Triple: [Russell 2000 Index, alsoKnownAs, RUT]
Generated description
RUT is the ticker symbol for the Russell 2000 Index, a major U.S. stock market index tracking the performance of approximately 2,000 small-cap companies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RUT
Target entity description: RUT is the ticker symbol for the Russell 2000 Index, a major U.S. stock market index tracking the performance of approximately 2,000 small-cap companies.
  • A. 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.
  • B. RÜD
    RÜD is the German vehicle registration code for the Rheingau-Taunus-Kreis district in the state of Hesse.
  • C. RUG
    RUG is the commonly used abbreviation for the University of Groningen, a major public research university in the Netherlands.
  • D. ROLT
    ROLT is the acronym for the Regional Organizations Liaison Team, a group that coordinates and facilitates communication and collaboration among various regional organizations.
  • E. RJT
    RJT is the IATA airport code assigned to Iruma Air Base, a military airfield in Saitama Prefecture, Japan.
  • 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.