Triple

T16050129
Position Surface form Disambiguated ID Type / Status
Subject Tašrītu E389330 entity
Predicate alternativeTransliterationOf P5923 FINISHED
Object Tashritu E389331 NE FINISHED

How this triple was built (2 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: Tashritu | Statement: [Tašrītu, alternativeTransliterationOf, Tashritu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tashritu
Context triple: [Tašrītu, alternativeTransliterationOf, Tashritu]
  • A. Tashrītu chosen
    Tashrītu is a month in the ancient Mesopotamian calendar, roughly corresponding to September–October in the modern Gregorian calendar.
  • B. Tashlultum
    Tashlultum was a queen of the Akkadian Empire, known primarily as the wife of the powerful ruler Naram-Sin.
  • C. Tashir
    Tashir is a small town located in Armenia’s northern Lori Province.
  • 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. Tumshuq
    Tumshuq is an ancient city in the Tarim Basin region of Xinjiang, China, historically associated with the Saka (Scythian) peoples and their Eastern Iranian languages.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18361083c8190abc84534265dc992 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbe095908190ba10399ad6f3b5f8 completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:56 a.m.