Triple

T13839793
Position Surface form Disambiguated ID Type / Status
Subject Rwandan Academy of Language and Culture E332624 entity
Predicate shortName P43 FINISHED
Object RALC
RALC is Rwanda’s national institution dedicated to promoting, preserving, and developing the country’s languages and cultural heritage.
 E1063835 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: RALC | Statement: [Rwandan Academy of Language and Culture, shortName, RALC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RALC
Context triple: [Rwandan Academy of Language and Culture, shortName, RALC]
  • A. RLC
    RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
  • B. RAL
    RAL is the IATA airport code for Riverside Municipal Airport, a public airport serving Riverside, California.
  • C. RANC
    RANC is the Royal Australian Navy’s principal officer training institution, responsible for educating and preparing naval officers for service.
  • D. RALE
    RALE is the station code for Alewife, the northern terminus of Boston’s MBTA Red Line rapid transit service.
  • E. RCAC
    The Royal Canadian Armoured Corps (RCAC) is the armoured warfare branch of the Canadian Army, responsible for operating tanks and other armoured fighting vehicles in combat and reconnaissance roles.
  • 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: RALC
Triple: [Rwandan Academy of Language and Culture, shortName, RALC]
Generated description
RALC is Rwanda’s national institution dedicated to promoting, preserving, and developing the country’s languages and cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RALC
Target entity description: RALC is Rwanda’s national institution dedicated to promoting, preserving, and developing the country’s languages and cultural heritage.
  • A. RLC
    RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
  • B. RAL
    RAL is the IATA airport code for Riverside Municipal Airport, a public airport serving Riverside, California.
  • C. RANC
    RANC is the Royal Australian Navy’s principal officer training institution, responsible for educating and preparing naval officers for service.
  • D. RALE
    RALE is the station code for Alewife, the northern terminus of Boston’s MBTA Red Line rapid transit service.
  • E. RCAC
    The Royal Canadian Armoured Corps (RCAC) is the armoured warfare branch of the Canadian Army, responsible for operating tanks and other armoured fighting vehicles in combat and reconnaissance roles.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02ae5e4c8190ad85ad2968bc71b2 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8f630d081909439e1cdc5d60430 completed May 3, 2026, 9:07 p.m.
NEDg Description generation batch_69f7bb3bb7288190b981a9439304124d completed May 3, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69f7bbac5a148190990ac56759e527cd completed May 3, 2026, 9:18 p.m.
Created at: April 9, 2026, 10:13 p.m.