Triple

T20616119
Position Surface form Disambiguated ID Type / Status
Subject RAAL La Louvière E506570 entity
Predicate shortName P43 FINISHED
Object RAAL
RAAL is a Belgian football club based in La Louvière.
 E1441736 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: RAAL | Statement: [RAAL La Louvière, shortName, RAAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RAAL
Context triple: [RAAL La Louvière, shortName, RAAL]
  • A. RALE
    RALE is the station code for Alewife, the northern terminus of Boston’s MBTA Red Line rapid transit service.
  • B. RAL
    RAL is the IATA airport code for Riverside Municipal Airport, a public airport serving Riverside, California.
  • C. RAA
    RAA is the abbreviation for the Royal Australian Artillery, the artillery corps of the Australian Army responsible for providing fire support and air defense.
  • D. RAE
    RAE is the commonly used abbreviation for the Russian Antarctic Expedition, Russia’s long-running program of scientific research and exploration in Antarctica.
  • E. RAE
    RAE is the commonly used acronym for the Royal Spanish Academy, the official institution responsible for regulating and overseeing the Spanish language.
  • 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: RAAL
Triple: [RAAL La Louvière, shortName, RAAL]
Generated description
RAAL is a Belgian football club based in La Louvière.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RAAL
Target entity description: RAAL is a Belgian football club based in La Louvière.
  • A. RALE
    RALE is the station code for Alewife, the northern terminus of Boston’s MBTA Red Line rapid transit service.
  • B. RAL
    RAL is the IATA airport code for Riverside Municipal Airport, a public airport serving Riverside, California.
  • C. RAA
    RAA is the abbreviation for the Royal Australian Artillery, the artillery corps of the Australian Army responsible for providing fire support and air defense.
  • D. RAE
    RAE is the commonly used abbreviation for the Russian Antarctic Expedition, Russia’s long-running program of scientific research and exploration in Antarctica.
  • E. RAE
    RAE is the commonly used acronym for the Royal Spanish Academy, the official institution responsible for regulating and overseeing the Spanish language.
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aadbb3ac81908145f57fd6a94256 completed April 20, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08bb13545c8190afcd6b35e2aa56ef completed May 16, 2026, 6:44 p.m.
NEDg Description generation batch_6a08bbb570f4819093e23b20fd83d101 completed May 16, 2026, 6:47 p.m.
NED2 Entity disambiguation (via description) batch_6a08bf7d661c8190af9e9b7b4121f951 completed May 16, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:41 a.m.