Triple

T3073421
Position Surface form Disambiguated ID Type / Status
Subject Center for the Study of Race and Law E64079 entity
Predicate abbreviation P43 FINISHED
Object CSRL
CSRL is an academic center focused on researching and teaching about the intersections of race and law.
 E324857 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: CSRL | Statement: [Center for the Study of Race and Law, abbreviation, CSRL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CSRL
Context triple: [Center for the Study of Race and Law, abbreviation, CSRL]
  • A. CRL
    CRL is the ICAO airline designator used to identify Corsair International in aviation operations and communications.
  • B. CRL
    CRL is the IATA airport code for Brussels South Charleroi Airport, a major low-cost carrier hub serving the Brussels region in Belgium.
  • C. CLCS
    CLCS is a United Nations body of experts that evaluates and makes recommendations on coastal states’ claims to the outer limits of their continental shelves under the UN Convention on the Law of the Sea.
  • D. CLS
    CLS is a set of rules in the .NET framework that defines a subset of common language features to ensure interoperability among different .NET languages.
  • E. CLS
    The Mercedes-Benz CLS is a luxury four-door coupé known for pioneering the modern coupé-sedan design with sleek styling and high-end performance.
  • 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: CSRL
Triple: [Center for the Study of Race and Law, abbreviation, CSRL]
Generated description
CSRL is an academic center focused on researching and teaching about the intersections of race and law.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CSRL
Target entity description: CSRL is an academic center focused on researching and teaching about the intersections of race and law.
  • A. CRL
    CRL is the ICAO airline designator used to identify Corsair International in aviation operations and communications.
  • B. CRL
    CRL is the IATA airport code for Brussels South Charleroi Airport, a major low-cost carrier hub serving the Brussels region in Belgium.
  • C. CLCS
    CLCS is a United Nations body of experts that evaluates and makes recommendations on coastal states’ claims to the outer limits of their continental shelves under the UN Convention on the Law of the Sea.
  • D. CLS
    CLS is a set of rules in the .NET framework that defines a subset of common language features to ensure interoperability among different .NET languages.
  • E. CLS
    The Mercedes-Benz CLS is a luxury four-door coupé known for pioneering the modern coupé-sedan design with sleek styling and high-end performance.
  • 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_69ad857a8aec8190bfdfd9c14554ac5a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada14e372c81908c25c7f3e7e0c864 completed March 8, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f886785c8190b0765730405c69ef completed March 11, 2026, 11:19 p.m.
NEDg Description generation batch_69b1f92315948190aee670df21cc0e5e completed March 11, 2026, 11:22 p.m.
NED2 Entity disambiguation (via description) batch_69b1f97563388190bd87d3ce9abe666e completed March 11, 2026, 11:23 p.m.
Created at: March 8, 2026, 3:02 p.m.