Triple

T15450831
Position Surface form Disambiguated ID Type / Status
Subject Rumsen language E370144 entity
Predicate region P40 FINISHED
Object Carmel River E359473 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: Carmel River | Statement: [Rumsen language, region, Carmel River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmel River
Context triple: [Rumsen language, region, Carmel River]
  • A. Carmel River chosen
    The Carmel River is a coastal stream on California’s central coast that flows through the Carmel Valley to the Pacific Ocean near Carmel-by-the-Sea.
  • B. Van Duzen River
    The Van Duzen River is a major river in northwestern California that flows through rugged forested terrain before joining the Eel River and ultimately draining into the Pacific Ocean.
  • C. Huntington River
    The Huntington River is a freshwater river in northwestern Vermont that flows through rural communities and scenic valleys before joining the Winooski River.
  • D. Savio River
    The Savio River is a watercourse in the Emilia-Romagna region of northern Italy that flows through several towns before emptying into the Adriatic Sea.
  • E. Carmen River
    The Carmen River is a tributary watercourse in northern Chile that feeds into the Huasco River within the arid Atacama region.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03efaf82c81908b464e37ce9c159a completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21b1e9688190a283dbc552072ce0 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.