Triple

T8917282
Position Surface form Disambiguated ID Type / Status
Subject Akitu E212323 entity
Predicate celebratedIn P7822 FINISHED
Object Uruk E37108 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: Uruk | Statement: [Akitu, celebratedIn, Uruk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uruk
Context triple: [Akitu, celebratedIn, Uruk]
  • A. Uruk chosen
    Uruk was one of the earliest major cities in ancient Sumer and Mesopotamia, renowned as a political, religious, and cultural center often associated with the legendary king Gilgamesh.
  • B. Lugalanda
    Lugalanda was an early Sumerian ruler of the city-state of Lagash, known from cuneiform inscriptions dating to the mid-3rd millennium BCE.
  • C. Shumerlya
    Shumerlya is a town in the Chuvash Republic of Russia, known as a local industrial and transport center.
  • D. Esagila
    Esagila was the principal temple complex dedicated to the god Marduk in ancient Babylon, serving as a major religious and ceremonial center of Mesopotamia.
  • E. Lagash
    Lagash was an important ancient Sumerian city-state in southern Mesopotamia, known for its early political power, distinctive art, and extensive cuneiform records.
  • 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_69cfdb83445c819085be0b13517292c9 completed April 3, 2026, 3:23 p.m.
Created at: March 30, 2026, 6:56 p.m.