Triple

T3482014
Position Surface form Disambiguated ID Type / Status
Subject Navarre E73512 entity
Predicate hasMainRiver P165 FINISHED
Object Arga E306173 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: Arga | Statement: [Navarre, hasMainRiver, Arga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arga
Context triple: [Navarre, hasMainRiver, Arga]
  • A. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • B. Andalgalá
    Andalgalá is a town in northwestern Argentina known for its mining activities and scenic location in the foothills of the Andes within Catamarca Province.
  • C. Tarago
    Tarago is a small rural town in New South Wales, Australia, known for its historic railway links and proximity to both Canberra and the Southern Tablelands farming region.
  • D. Arudy chosen
    Arudy is a small commune in southwestern France, known as a gateway village to the Ossau Valley in the Pyrenees.
  • E. Argobba
    Argobba is an endangered South Semitic language spoken by the Argobba people in central Ethiopia.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb76b5188190bf8f8a3f646a7184 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681e88d881908a2eeb93aa56d889 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:17 p.m.