Triple

T13451860
Position Surface form Disambiguated ID Type / Status
Subject Nabi E320625 entity
Predicate hasPluralForm P5088 FINISHED
Object Anbiya
Anbiya is the Arabic plural form of "nabi," referring collectively to the prophets in Islamic tradition.
 E1041158 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: Anbiya | Statement: [Nabi, hasPluralForm, Anbiya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anbiya
Context triple: [Nabi, hasPluralForm, Anbiya]
  • A. Abnub
    Abnub is a city in Upper Egypt situated within the Asyut Governorate, known primarily as a local administrative and population center in the region.
  • B. Abunayyan
    Abunayyan is a prominent Saudi family name associated with influential figures in business and public life in Saudi Arabia.
  • C. Musasir
    Musasir was an ancient Urartian city and religious center in the Armenian Highlands, renowned for its prominent temple dedicated to the god Haldi.
  • D. Awni
    Awni is a masculine given name of Arabic origin, commonly used in the Middle East.
  • E. Akhras
    Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
  • 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: Anbiya
Triple: [Nabi, hasPluralForm, Anbiya]
Generated description
Anbiya is the Arabic plural form of "nabi," referring collectively to the prophets in Islamic tradition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anbiya
Target entity description: Anbiya is the Arabic plural form of "nabi," referring collectively to the prophets in Islamic tradition.
  • A. Abnub
    Abnub is a city in Upper Egypt situated within the Asyut Governorate, known primarily as a local administrative and population center in the region.
  • B. Abunayyan
    Abunayyan is a prominent Saudi family name associated with influential figures in business and public life in Saudi Arabia.
  • C. Musasir
    Musasir was an ancient Urartian city and religious center in the Armenian Highlands, renowned for its prominent temple dedicated to the god Haldi.
  • D. Awni
    Awni is a masculine given name of Arabic origin, commonly used in the Middle East.
  • E. Akhras
    Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaefae85481909e6a59797cbb25e7 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7399c539c819080802b620da6fcfc completed May 3, 2026, 12:03 p.m.
NEDg Description generation batch_69f73dd98e88819098394122bac6bbc4 completed May 3, 2026, 12:21 p.m.
NED2 Entity disambiguation (via description) batch_69f73e4f2da88190924ea9a19418750f completed May 3, 2026, 12:23 p.m.
Created at: April 9, 2026, 9:41 p.m.