Triple

T22681840
Position Surface form Disambiguated ID Type / Status
Subject Moesia E560500 entity
Predicate importantCity P3940 FINISHED
Object Ratiaria NE NERFINISHED

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: Ratiaria | Statement: [Moesia, importantCity, Ratiaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ratiaria
Context triple: [Moesia, importantCity, Ratiaria]
  • A. Ratiaria chosen
    Ratiaria was a prominent Roman city and military center on the Danube frontier in the province of Moesia (later Dacia Ripensis), known for its strategic and administrative importance.
  • B. Helarctos
    Helarctos is a bear genus that includes the Malayan sun bear, the smallest and one of the most arboreal bear species.
  • C. Ictonyx
    Ictonyx is a genus of African striped polecats and related small carnivorous mammals in the weasel family.
  • D. Fossa
    Fossa is a small village in Italy’s Abruzzo region, known for its medieval architecture and proximity to the Apennine mountains.
  • E. Hydropotes inermis
    Hydropotes inermis, commonly known as the water deer, is a small East Asian deer species notable for its lack of antlers and prominent tusk-like canine teeth.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1786113a881908f60285054d7ecfb completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 3:12 p.m.