Triple

T7620956
Position Surface form Disambiguated ID Type / Status
Subject Royal Antwerp F.C. E172488 entity
Predicate fifaCode P6278 FINISHED
Object ANT
ANT is the FIFA country code used to represent the Netherlands Antilles in international football competitions.
 E677278 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: ANT | Statement: [Royal Antwerp F.C., fifaCode, ANT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ANT
Context triple: [Royal Antwerp F.C., fifaCode, ANT]
  • A. Ant
    Ant is a Java-based build automation tool commonly used to compile, package, and deploy Java applications using XML configuration files.
  • B. AT
    AT is the commonly used abbreviation and public-facing brand name for Auckland Transport, the agency responsible for managing Auckland’s transport services and infrastructure.
  • C. AT
    AT is the chassis designation used by the Scuderia AlphaTauri Formula One team for its race cars.
  • D. ANA
    ANA is the Portuguese company responsible for managing and operating the main airports in Portugal.
  • E. ANA
    ANA is the commonly used abbreviation for the Afghan National Army, the former main land warfare branch of Afghanistan’s armed forces.
  • 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: ANT
Triple: [Royal Antwerp F.C., fifaCode, ANT]
Generated description
ANT is the FIFA country code used to represent the Netherlands Antilles in international football competitions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ANT
Target entity description: ANT is the FIFA country code used to represent the Netherlands Antilles in international football competitions.
  • A. Ant
    Ant is a Java-based build automation tool commonly used to compile, package, and deploy Java applications using XML configuration files.
  • B. AT
    AT is the commonly used abbreviation and public-facing brand name for Auckland Transport, the agency responsible for managing Auckland’s transport services and infrastructure.
  • C. AT
    AT is the chassis designation used by the Scuderia AlphaTauri Formula One team for its race cars.
  • D. ANA
    ANA is the Portuguese company responsible for managing and operating the main airports in Portugal.
  • E. ANA
    ANA is the commonly used abbreviation for the Afghan National Army, the former main land warfare branch of Afghanistan’s armed forces.
  • 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_69c699506b308190826894dab1d9ea86 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa62870c8190b17f44eb7a3ff2ad completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c868789618819094010e60ef73fdfd completed March 28, 2026, 11:47 p.m.
NEDg Description generation batch_69c86c244d848190b53a713480761162 completed March 29, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69c86c7881788190bc399c485d12d6fa completed March 29, 2026, 12:04 a.m.
Created at: March 27, 2026, 3:55 p.m.