Triple

T14011962
Position Surface form Disambiguated ID Type / Status
Subject Little Beskids E337102 entity
Predicate crossedBy P416 FINISHED
Object Skawa River E143818 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: Skawa River | Statement: [Little Beskids, crossedBy, Skawa River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skawa River
Context triple: [Little Beskids, crossedBy, Skawa River]
  • A. Skawa River chosen
    The Skawa River is a river in southern Poland that flows through the Lesser Poland region, including the town of Sucha Beskidzka, before joining the Vistula River.
  • B. Wkra River
    The Wkra River is a significant river in north-central Poland that flows through the Masovian region before joining the Narew River.
  • C. Kacza River
    The Kacza River is a small river in northern Poland that flows through the Gdynia district of Mały Kack into the Baltic Sea.
  • D. Tigoda River
    The Tigoda River is a tributary waterway in northwestern Russia that feeds into the larger Volkhov River system.
  • E. Kamienna River
    The Kamienna River is a river in south-central Poland that flows through the Świętokrzyskie region, including the town of Skarżysko-Kamienna.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed5cfd0819085b9c860b119a9de completed April 14, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014132570081909fab220c002c2f10 completed May 11, 2026, 2:38 a.m.
Created at: April 9, 2026, 10:19 p.m.