Triple

T10273883
Position Surface form Disambiguated ID Type / Status
Subject Košice Region E240912 entity
Predicate containsRiver P165 FINISHED
Object Laborec E315954 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: Laborec | Statement: [Košice Region, containsRiver, Laborec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laborec
Context triple: [Košice Region, containsRiver, Laborec]
  • A. Laborec chosen
    Laborec is a river in eastern Slovakia that flows through the Carpathian region and is a tributary of the Latorica River.
  • B. Labori
    Labori was a prominent French defense lawyer best known for representing Alfred Dreyfus during the politically charged Dreyfus affair.
  • C. Laber
    Laber is a river in Bavaria, Germany, that flows through the Regensburg district.
  • D. Laborem exercens
    Laborem exercens is a 1981 social encyclical by Pope John Paul II that reflects on the dignity of human work and the rights of workers in modern economic systems.
  • E. Labná
    Labná is a small ancient Maya archaeological site in Mexico’s Yucatán Peninsula, noted for its ornate Puuc-style architecture and iconic arched gateway.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d288acf48190bbf14a5cb2dfe1f4 completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f81b39008190af48de31de03682e completed April 9, 2026, 12:51 a.m.
Created at: April 6, 2026, 11:36 a.m.