Triple

T7319224
Position Surface form Disambiguated ID Type / Status
Subject Six Rivers National Forest E168494 entity
Predicate hasPart P35 FINISHED
Object Mad River E669568 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: Mad River | Statement: [Six Rivers National Forest, hasPart, Mad River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mad River
Context triple: [Six Rivers National Forest, hasPart, Mad River]
  • A. Mad River
    Mad River is a tributary of the Great Miami River in western Ohio known for its clear, cold waters and popularity for fishing and paddling.
  • B. Mad River chosen
    Mad River is a waterway in northwestern California that flows through the ancestral lands of the Wiyot people before emptying into the Pacific Ocean.
  • C. Mad River
    Mad River is a tributary stream in New Hampshire that feeds into the Pemigewasset River within the Merrimack River watershed.
  • D. Waters River
    Waters River is a small waterway in Massachusetts that flows through the town of Danvers.
  • E. Mad River (Vermont)
    Mad River (Vermont) is a scenic mountain river in central Vermont known for its clear waters, popular trout fishing, and role in regional outdoor recreation.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef18b7bc81908a9ee405d684f304 completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebaee29308190a468b2bc24008428 completed April 2, 2026, 6:52 p.m.
Created at: March 27, 2026, 3:02 p.m.