Triple

T8916834
Position Surface form Disambiguated ID Type / Status
Subject Sumerian King List E212313 entity
Predicate listsCity P51257 FINISHED
Object Isin E766869 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: Isin | Statement: [Sumerian King List, listsCity, Isin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isin
Context triple: [Sumerian King List, listsCity, Isin]
  • A. Isin
    Isin is a local government area in Kwara State, Nigeria, known for its predominantly Yoruba communities and agrarian economy.
  • B. Isin chosen
    Isin was an important ancient Mesopotamian city-state in southern Iraq, notable for its political and religious significance during the early second millennium BCE.
  • C. Isinay
    Isinay is an Austronesian language spoken by the Isinay people of northern Luzon in the Philippines, noted for its distinct phonology and grammar compared to neighboring Philippine languages.
  • D. Isanzu
    Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
  • E. Isinai
    Isinai is an Austronesian language spoken by the Isinai people of Nueva Vizcaya in the northern Philippines.
  • 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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6610cd48819090a184c5f9465626 completed April 1, 2026, 12:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1d0965c81908841fe591283e4a4 completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:56 p.m.