Triple

T12578819
Position Surface form Disambiguated ID Type / Status
Subject Lough Mask E300279 entity
Predicate connectedBy P37 FINISHED
Object River Cong E981965 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: River Cong | Statement: [Lough Mask, connectedBy, River Cong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Cong
Context triple: [Lough Mask, connectedBy, River Cong]
  • A. River Cong chosen
    River Cong is a short river in western Ireland that flows from Lough Mask through the village of Cong before reaching Lough Corrib.
  • B. Ngadda River
    The Ngadda River is a waterway in northeastern Nigeria that flows through the city of Maiduguri and contributes to the region’s drainage into Lake Chad.
  • C. Famine River
    The Famine River is a smaller watercourse in Quebec, Canada, known primarily as a tributary within the Chaudière River watershed.
  • D. You River
    The You River is a tributary waterway in southern China that feeds into the larger Yuan River system.
  • E. Beni River
    The Beni River is a major waterway in northern Bolivia that flows through the Amazon Basin, supporting rich biodiversity and local communities along its course.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954a73c148190bba8f16b1232fd46 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65599a9c0819086233fb2c622d243 completed May 2, 2026, 7:50 p.m.
Created at: April 9, 2026, 4:58 p.m.