Triple

T10171265
Position Surface form Disambiguated ID Type / Status
Subject March E235334 entity
Predicate alternativeName P39 FINISHED
Object Morava E398549 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: Morava | Statement: [March, alternativeName, Morava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morava
Context triple: [March, alternativeName, Morava]
  • A. Morava
    Morava is a Central European river that forms part of the border between Austria, the Czech Republic, and Slovakia before joining the Danube near Bratislava.
  • B. Brda
    Brda is a river in northern Poland that flows through the Pomeranian region and is known for its scenic landscapes and popular kayaking routes.
  • C. Brda
    Brda is a picturesque wine-growing municipality in western Slovenia, renowned for its rolling hills, vineyards, and traditional villages near the Italian border.
  • D. Tyrnavos
    Tyrnavos is a town in central Greece known for its agricultural production and traditional tsipouro distilleries, located in the Larissa regional unit of Thessaly.
  • E. Morava River chosen
    The Morava River is a major Central European river flowing through the Czech Republic, Slovakia, and Austria, forming part of the natural border between the latter two countries before joining the Danube.
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec9e4e0c819097dceb7bf7757948 completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d30101e3ec819095a587c0dae55f71 completed April 6, 2026, 12:40 a.m.
Created at: March 30, 2026, 9:10 p.m.