Triple

T8710074
Position Surface form Disambiguated ID Type / Status
Subject Maay E206751 entity
Predicate alternativeName P39 FINISHED
Object Af-Maay
Af-Maay is a Cushitic language spoken primarily by the Maay-speaking Somali communities in southern Somalia and neighboring regions.
E753672 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: Af-Maay | Statement: [Maay, alternativeName, Af-Maay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Af-Maay
Context triple: [Maay, alternativeName, Af-Maay]
  • A. Elaraby
    Elaraby is an Arabic surname most prominently associated with Nabil Elaraby, an Egyptian diplomat and former Secretary-General of the Arab League.
  • B. Tamasheq
    Tamasheq is a Berber language spoken by the Tuareg people of the central Sahara region.
  • C. Siwi language
    The Siwi language is a Berber (Amazigh) language spoken by the Siwi people in Egypt’s Siwa Oasis, characterized by significant Arabic influence and its status as one of the easternmost Berber languages.
  • D. Kankana-ey
    Kankana-ey is an Austronesian language spoken by the Kankanaey people of the northern Philippines, particularly in the Cordillera region of Luzon.
  • E. Soqotri language
    The Soqotri language is a Modern South Arabian Semitic language spoken primarily by the indigenous people of the island of Socotra in Yemen.
  • 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: Af-Maay
Triple: [Maay, alternativeName, Af-Maay]
Generated description
Af-Maay is a Cushitic language spoken primarily by the Maay-speaking Somali communities in southern Somalia and neighboring regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Af-Maay
Target entity description: Af-Maay is a Cushitic language spoken primarily by the Maay-speaking Somali communities in southern Somalia and neighboring regions.
  • A. Elaraby
    Elaraby is an Arabic surname most prominently associated with Nabil Elaraby, an Egyptian diplomat and former Secretary-General of the Arab League.
  • B. Tamasheq
    Tamasheq is a Berber language spoken by the Tuareg people of the central Sahara region.
  • C. Siwi language
    The Siwi language is a Berber (Amazigh) language spoken by the Siwi people in Egypt’s Siwa Oasis, characterized by significant Arabic influence and its status as one of the easternmost Berber languages.
  • D. Kankana-ey
    Kankana-ey is an Austronesian language spoken by the Kankanaey people of the northern Philippines, particularly in the Cordillera region of Luzon.
  • E. Soqotri language
    The Soqotri language is a Modern South Arabian Semitic language spoken primarily by the indigenous people of the island of Socotra in Yemen.
  • 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5c3034708190b895eaf890d62198 completed March 31, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28c174008190bc2d43ca613e9a9e completed April 3, 2026, 2:41 a.m.
NEDg Description generation batch_69cf2bd14c3c8190b43840ee57cca22c completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2cb3c4308190971fb3d25064f205 completed April 3, 2026, 2:57 a.m.
Created at: March 30, 2026, 6:35 p.m.