Triple

T11496953
Position Surface form Disambiguated ID Type / Status
Subject Fay (non-battle war gains) E272558 entity
Predicate hasAlternativeName P39 FINISHED
Object al-fay'
al-fay' refers to property or wealth acquired without direct combat in Islamic law, typically allocated for the benefit of the Muslim community and public welfare.
 E929181 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: al-fay' | Statement: [Fay (non-battle war gains), hasAlternativeName, al-fay']
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: al-fay'
Context triple: [Fay (non-battle war gains), hasAlternativeName, al-fay']
  • A. al-Fasi
    al-Fasi is an honorific nisba indicating a person’s origin or association with the city of Fes (Fez) in Morocco.
  • B. Fad‘an
    Fad‘an is a subtribe of the large and historically influential Arab tribal confederation of Anizah.
  • C. Al Fayha
    Al Fayha is a professional football club based in Al Majma'ah, Saudi Arabia, competing in the Saudi Pro League.
  • D. Fayiz
    Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
  • E. FAY
    FAY is the three-letter FAA airport code for Fayetteville Regional Airport serving Fayetteville, North Carolina.
  • 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: al-fay'
Triple: [Fay (non-battle war gains), hasAlternativeName, al-fay']
Generated description
al-fay' refers to property or wealth acquired without direct combat in Islamic law, typically allocated for the benefit of the Muslim community and public welfare.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: al-fay'
Target entity description: al-fay' refers to property or wealth acquired without direct combat in Islamic law, typically allocated for the benefit of the Muslim community and public welfare.
  • A. al-Fasi
    al-Fasi is an honorific nisba indicating a person’s origin or association with the city of Fes (Fez) in Morocco.
  • B. Fad‘an
    Fad‘an is a subtribe of the large and historically influential Arab tribal confederation of Anizah.
  • C. Al Fayha
    Al Fayha is a professional football club based in Al Majma'ah, Saudi Arabia, competing in the Saudi Pro League.
  • D. Fayiz
    Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
  • E. FAY
    FAY is the three-letter FAA airport code for Fayetteville Regional Airport serving Fayetteville, North Carolina.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de183f08190abfa36eaabc61dc6 completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e60497be2c8190a82362280e51698a completed April 20, 2026, 10:48 a.m.
NEDg Description generation batch_69e610a6de0c8190aabda7ef7b7063a6 completed April 20, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_69e61842b8848190b454cee480c69f7a completed April 20, 2026, 12:12 p.m.
Created at: April 8, 2026, 9:36 p.m.