Triple

T6749626
Position Surface form Disambiguated ID Type / Status
Subject Allied Force Headquarters E154309 entity
Predicate alsoKnownAs P39 FINISHED
Object AFHQ
AFHQ was the central Allied military command responsible for coordinating operations in the Mediterranean theater during World War II.
 E615844 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: AFHQ | Statement: [Allied Force Headquarters, alsoKnownAs, AFHQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AFHQ
Context triple: [Allied Force Headquarters, alsoKnownAs, AFHQ]
  • A. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • B. AAF
    AAF is the common abbreviation for the Alliance of American Football, a short-lived professional American football league that operated in 2019.
  • C. AFU
    AFU is the commonly used abbreviation for the Armed Forces of Ukraine, the military organization responsible for defending Ukraine’s sovereignty and territorial integrity.
  • D. AFSJ
    AFSJ is the European Union’s policy framework that governs cooperation on justice, security, border control, and fundamental rights across member states.
  • E. AFA
    AFA is the Argentine Football Association, the main governing body responsible for organizing and regulating football in Argentina, including its national teams and professional leagues.
  • 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: AFHQ
Triple: [Allied Force Headquarters, alsoKnownAs, AFHQ]
Generated description
AFHQ was the central Allied military command responsible for coordinating operations in the Mediterranean theater during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AFHQ
Target entity description: AFHQ was the central Allied military command responsible for coordinating operations in the Mediterranean theater during World War II.
  • A. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • B. AAF
    AAF is the common abbreviation for the Alliance of American Football, a short-lived professional American football league that operated in 2019.
  • C. AFU
    AFU is the commonly used abbreviation for the Armed Forces of Ukraine, the military organization responsible for defending Ukraine’s sovereignty and territorial integrity.
  • D. AFSJ
    AFSJ is the European Union’s policy framework that governs cooperation on justice, security, border control, and fundamental rights across member states.
  • E. AFA
    AFA is the Argentine Football Association, the main governing body responsible for organizing and regulating football in Argentina, including its national teams and professional leagues.
  • 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_69c6880ef37881909268a5a7299b9293 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1d8bfa48190a7fc48102258ae17 completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b180f188190b380909c46fbce40 completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70c334a90819084bb0b25bbc112cc completed March 27, 2026, 11:01 p.m.
NED2 Entity disambiguation (via description) batch_69c70d0fcbc08190b3a7d0de3c634a5f completed March 27, 2026, 11:04 p.m.
Created at: March 27, 2026, 2:11 p.m.