Triple

T9737840
Position Surface form Disambiguated ID Type / Status
Subject Qataban E236108 entity
Predicate majorDeity P7648 FINISHED
Object Amm
Amm is an ancient South Arabian god, particularly revered in the Qataban kingdom as a principal deity associated with protection and tribal identity.
E817742 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: Amm | Statement: [Qataban, majorDeity, Amm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amm
Context triple: [Qataban, majorDeity, Amm]
  • A. AAM
    AAM is a United States Army decoration awarded to soldiers for outstanding achievement or meritorious service that does not meet the criteria for higher-level medals.
  • B. AMM
    AMM is the commonly used abbreviation for the APEC Ministerial Meeting, the annual gathering of Asia-Pacific Economic Cooperation foreign and trade ministers.
  • C. AMM
    AMM is the IATA airport code for Queen Alia International Airport, the main international gateway serving Amman, Jordan.
  • D. Aramm
    Aramm is a 2017 Tamil social drama film starring Nayanthara as a dedicated district collector tackling a village water crisis and systemic negligence.
  • E. AMO
    AMO is the research and think-tank arm associated with Rem Koolhaas’s architecture firm OMA, focusing on interdisciplinary projects in architecture, culture, and politics.
  • 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: Amm
Triple: [Qataban, majorDeity, Amm]
Generated description
Amm is an ancient South Arabian god, particularly revered in the Qataban kingdom as a principal deity associated with protection and tribal identity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amm
Target entity description: Amm is an ancient South Arabian god, particularly revered in the Qataban kingdom as a principal deity associated with protection and tribal identity.
  • A. AAM
    AAM is a United States Army decoration awarded to soldiers for outstanding achievement or meritorious service that does not meet the criteria for higher-level medals.
  • B. AMM
    AMM is the commonly used abbreviation for the APEC Ministerial Meeting, the annual gathering of Asia-Pacific Economic Cooperation foreign and trade ministers.
  • C. AMM
    AMM is the IATA airport code for Queen Alia International Airport, the main international gateway serving Amman, Jordan.
  • D. Aramm
    Aramm is a 2017 Tamil social drama film starring Nayanthara as a dedicated district collector tackling a village water crisis and systemic negligence.
  • E. AMO
    AMO is the research and think-tank arm associated with Rem Koolhaas’s architecture firm OMA, focusing on interdisciplinary projects in architecture, culture, and politics.
  • 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.