Triple

T3787565
Position Surface form Disambiguated ID Type / Status
Subject Tashritu E85563 entity
Predicate hasAlternativeTransliteration P5923 FINISHED
Object Tashrītu
Tashrītu is a month in the ancient Mesopotamian calendar, roughly corresponding to September–October in the modern Gregorian calendar.
 E389331 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: Tashrītu | Statement: [Tashritu, hasAlternativeTransliteration, Tashrītu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tashrītu
Context triple: [Tashritu, hasAlternativeTransliteration, Tashrītu]
  • A. Taslḥit
    Taslḥit is a variety of the Amazigh (Berber) language spoken primarily in southwestern Morocco.
  • B. Tashauz
    Tashauz is the former name of Dashoguz, a major city in northern Turkmenistan near the Uzbek border.
  • C. Multazam
    Multazam is the small sacred area between the Black Stone and the door of the Kaaba where pilgrims supplicate, believing prayers there are especially accepted.
  • D. Tabiriyya
    Tabiriyya is a sub-school within the Zaydi branch of Shia Islam, representing a distinct theological and legal tradition in that sect.
  • E. Shalateen
    Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
  • 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: Tashrītu
Triple: [Tashritu, hasAlternativeTransliteration, Tashrītu]
Generated description
Tashrītu is a month in the ancient Mesopotamian calendar, roughly corresponding to September–October in the modern Gregorian calendar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tashrītu
Target entity description: Tashrītu is a month in the ancient Mesopotamian calendar, roughly corresponding to September–October in the modern Gregorian calendar.
  • A. Taslḥit
    Taslḥit is a variety of the Amazigh (Berber) language spoken primarily in southwestern Morocco.
  • B. Tashauz
    Tashauz is the former name of Dashoguz, a major city in northern Turkmenistan near the Uzbek border.
  • C. Multazam
    Multazam is the small sacred area between the Black Stone and the door of the Kaaba where pilgrims supplicate, believing prayers there are especially accepted.
  • D. Tabiriyya
    Tabiriyya is a sub-school within the Zaydi branch of Shia Islam, representing a distinct theological and legal tradition in that sect.
  • E. Shalateen
    Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee42e430081908d032dcdcef20fc5 completed March 9, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f05031cc8190825105f77dd76438 completed March 14, 2026, 5:21 a.m.
NEDg Description generation batch_69b4f4f80f4c8190890dae6770d10d4d completed March 14, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_69b4f55f53ec8190a5f9cf6d494e75dd completed March 14, 2026, 5:42 a.m.
Created at: March 9, 2026, 3:13 p.m.