Triple

T16354011
Position Surface form Disambiguated ID Type / Status
Subject Presidential Palace in Kabul E397126 entity
Predicate alsoKnownAs P39 FINISHED
Object Arg
Arg is the historic fortified presidential complex in central Kabul that serves as the official residence and workplace of Afghanistan’s head of state.
 E1208826 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: Arg | Statement: [Presidential Palace in Kabul, alsoKnownAs, Arg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arg
Context triple: [Presidential Palace in Kabul, alsoKnownAs, Arg]
  • A. ARG
    ARG is the National Rail station code assigned to Arnos Grove station in London.
  • B. ARG
    ARG is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Argentina in international standards and data systems.
  • C. ar
    ar is a Unix utility for creating, modifying, and extracting from archive files, commonly used to build and manage static libraries.
  • D. Ant
    Ant is a Java-based build automation tool commonly used to compile, package, and deploy Java applications using XML configuration files.
  • E. Ant
    Ant is an American hip hop producer best known as a core member of the duo Atmosphere and a key figure in the independent rap scene.
  • 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: Arg
Triple: [Presidential Palace in Kabul, alsoKnownAs, Arg]
Generated description
Arg is the historic fortified presidential complex in central Kabul that serves as the official residence and workplace of Afghanistan’s head of state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arg
Target entity description: Arg is the historic fortified presidential complex in central Kabul that serves as the official residence and workplace of Afghanistan’s head of state.
  • A. ARG
    ARG is the National Rail station code assigned to Arnos Grove station in London.
  • B. ARG
    ARG is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Argentina in international standards and data systems.
  • C. ar
    ar is a Unix utility for creating, modifying, and extracting from archive files, commonly used to build and manage static libraries.
  • D. Ant
    Ant is a Java-based build automation tool commonly used to compile, package, and deploy Java applications using XML configuration files.
  • E. Ant
    Ant is an American hip hop producer best known as a core member of the duo Atmosphere and a key figure in the independent rap scene.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2facd80dc8190b08f0eecbf787240 completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002db841dc8190bfe8a0d8fca1b309 completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a002f46da5c81909c6e726fe89a3f81 completed May 10, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_6a003063fd748190ba42c55b008202fc completed May 10, 2026, 7:14 a.m.
Created at: April 10, 2026, 5:07 a.m.