Triple

T9661256
Position Surface form Disambiguated ID Type / Status
Subject Enmerkar E233594 entity
Predicate capital P234 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: [Enmerkar, capital, Uruk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uruk
Context triple: [Enmerkar, capital, 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. Shuruppak
    Shuruppak was an important ancient Sumerian city in southern Mesopotamia, traditionally associated with early urban development and the Sumerian flood myth.
  • E. 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.
  • 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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c0a15e4819092ea0fb2cb6e1c12 completed April 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a0ff7548190ae438c4a334058ac completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:14 p.m.