Triple

T9737841
Position Surface form Disambiguated ID Type / Status
Subject Qataban E236108 entity
Predicate majorDeity P7648 FINISHED
Object Anbay
Anbay is an ancient South Arabian god associated with justice and oracles, venerated as a principal deity in the Qataban kingdom.
 E817743 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: Anbay | Statement: [Qataban, majorDeity, Anbay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anbay
Context triple: [Qataban, majorDeity, Anbay]
  • A. Abui
    Abui is a Papuan language spoken by the Abui people on Alor Island in eastern Indonesia, known for its complex verb morphology and typological interest.
  • B. Abunayyan
    Abunayyan is a prominent Saudi family name associated with influential figures in business and public life in Saudi Arabia.
  • C. Qanjobal
    Qanjobal is a Mayan language spoken primarily by the Qʼanjobʼal people in the highlands of Guatemala.
  • D. Hasbaya
    Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
  • E. Arykanda
    Arykanda is an ancient Lycian city in southwestern Turkey, known for its well-preserved ruins including a theater, baths, and terraced structures overlooking a mountain valley.
  • 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: Anbay
Triple: [Qataban, majorDeity, Anbay]
Generated description
Anbay is an ancient South Arabian god associated with justice and oracles, venerated as a principal deity in the Qataban kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anbay
Target entity description: Anbay is an ancient South Arabian god associated with justice and oracles, venerated as a principal deity in the Qataban kingdom.
  • A. Abui
    Abui is a Papuan language spoken by the Abui people on Alor Island in eastern Indonesia, known for its complex verb morphology and typological interest.
  • B. Abunayyan
    Abunayyan is a prominent Saudi family name associated with influential figures in business and public life in Saudi Arabia.
  • C. Qanjobal
    Qanjobal is a Mayan language spoken primarily by the Qʼanjobʼal people in the highlands of Guatemala.
  • D. Hasbaya
    Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
  • E. Arykanda
    Arykanda is an ancient Lycian city in southwestern Turkey, known for its well-preserved ruins including a theater, baths, and terraced structures overlooking a mountain valley.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9ef2ba048190811d6f4251fdb270 completed April 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afd74a308190ae1a618bab5f7841 completed April 5, 2026, 12:41 a.m.
NEDg Description generation batch_69d1b0f7a68481909de080dd78f883a8 completed April 5, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1b17bd97c8190b77815db5a6a70d9 completed April 5, 2026, 12:49 a.m.
Created at: March 30, 2026, 8:22 p.m.