Triple

T8926265
Position Surface form Disambiguated ID Type / Status
Subject Uruk archaeological site E212544 entity
Predicate alternateName P39 FINISHED
Object Warka E234008 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: Warka | Statement: [Uruk archaeological site, alternateName, Warka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warka
Context triple: [Uruk archaeological site, alternateName, Warka]
  • A. Warka chosen
    Warka is the modern name for the ancient Mesopotamian city of Uruk, one of the world’s earliest major urban centers in present-day Iraq.
  • B. Warka
    Warka is a historic town in east-central Poland, known for its long-standing brewing tradition and scenic location along the Pilica River.
  • C. Ciampea
    Ciampea is a district in West Java, Indonesia, known as part of the suburban and semi-rural area surrounding the city of Bogor.
  • D. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • E. Dausa
    Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
  • 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_69ca839481d48190b42b037e0d0f636c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66700fb48190874563e535f20437 completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1d55d84819094bc2b6e3dd94254 completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:57 p.m.