Triple

T432123
Position Surface form Disambiguated ID Type / Status
Subject Sea of Azov E9735 entity
Predicate drainedByRiver P4497 FINISHED
Object Don River E139989 NE FINISHED

How this triple was built (3 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: Don River | Statement: [Sea of Azov, drainedByRiver, Don River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don River
Context triple: [Sea of Azov, drainedByRiver, Don River]
  • A. Don River
    The Don River is a significant waterway in Toronto, Ontario, that flows south through the city into Lake Ontario and has played an important role in its urban and environmental history.
  • B. Don River chosen
    The Don River is a major river in southwestern Russia that flows from the Central Russian Upland to the Sea of Azov and has long held strategic and historical importance, including during World War II.
  • C. Tons River
    Tons River is a major Himalayan river in northern India that flows through Uttarakhand and Himachal Pradesh before joining the Yamuna.
  • D. Son River
    The Son River is a major river in central and eastern India that flows through states like Madhya Pradesh, Uttar Pradesh, and Bihar before joining the Ganges.
  • E. Grande River
    The Grande River is a watercourse in Chile’s Limarí Province that contributes to the region’s agricultural irrigation and local watershed.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: drainedByRiver
Context triple: [Sea of Azov, drainedByRiver, Don River]
  • A. hasRiver
    Indicates that a location or area contains, is traversed by, or is directly associated with a river.
  • B. drainsInto chosen
    Indicates that one entity serves as a source or conduit whose contents or flow are directed into another entity.
  • C. mouthOfTheWatercourse
    Indicates the location where a watercourse ends and flows into a larger body of water.
  • D. drainageBasin
    Indicates the area of land where all precipitation and surface water flow are collected and drained toward a particular river, lake, or other water body.
  • E. riverSystem
    Indicates that one entity is a river system to which the other entity belongs or is a component (such as a tributary or segment).
  • F. None of above.

Provenance (4 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eef07e748190b05392778f3de980 completed Feb. 28, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad158273188190ba7d9005161f4a70 completed March 8, 2026, 6:21 a.m.
PD Predicate disambiguation batch_69a2edd9264c8190b92f9a50348e5541 completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.