Triple

T8474097
Position Surface form Disambiguated ID Type / Status
Subject Syrmia E200346 entity
Predicate namedAfter P63 FINISHED
Object ancient city of Sirmium E36825 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: ancient city of Sirmium | Statement: [Syrmia, namedAfter, ancient city of Sirmium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ancient city of Sirmium
Context triple: [Syrmia, namedAfter, ancient city of Sirmium]
  • A. Sirmium chosen
    Sirmium was an important ancient Roman city in the province of Pannonia, serving as a major military, administrative, and imperial center in the late Roman Empire.
  • B. Durostorum
    Durostorum was a major Roman military and urban center on the lower Danube, located in the province of Moesia (modern Silistra, Bulgaria).
  • C. Carnuntum
    Carnuntum was a major Roman military camp and later a significant provincial capital and trading city on the Danube frontier in what is now eastern Austria.
  • D. Singidunum
    Singidunum was the ancient Roman and earlier Celtic settlement that occupied the site of present-day Belgrade, Serbia.
  • E. Aurelianum
    Aurelianum is the ancient Latin name for the French city of Orléans, reflecting its origins as a Roman settlement.
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4f7328481909ad19bcf8d182022 completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a057b6c8190ad592110ca393ee2 completed April 2, 2026, 9:42 a.m.
Created at: March 30, 2026, 6:11 p.m.