Triple

T17339450
Position Surface form Disambiguated ID Type / Status
Subject Romerike E421025 entity
Predicate hasRiver P165 FINISHED
Object Nitelva E442489 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: Nitelva | Statement: [Romerike, hasRiver, Nitelva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nitelva
Context triple: [Romerike, hasRiver, Nitelva]
  • A. Nitelva chosen
    Nitelva is a river in southeastern Norway that flows through the Romerike region before joining the larger Glomma river.
  • B. Valderice
    Valderice is a small town and comune in western Sicily, Italy, known for its scenic hillside setting near the historic city of Erice and views over the Gulf of Trapani.
  • C. Naberius
    Naberius is the main demonic antagonist in the film "I, Frankenstein," depicted as a powerful prince of demons seeking to harness reanimation technology for his own dark purposes.
  • D. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • E. Mornaguia
    Mornaguia is a town in northern Tunisia that serves as one of the main urban centers of Manouba Governorate, known for its agricultural surroundings and proximity to the capital, Tunis.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a14ec90819098db2ac0d58a53e1 completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c56c8148190ab6e3e2eff09725e completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:44 a.m.