Triple

T20429926
Position Surface form Disambiguated ID Type / Status
Subject San Lorenzo River E501102 entity
Predicate hasTributary P415 FINISHED
Object Carbonera Creek E1446422 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: Carbonera Creek | Statement: [San Lorenzo River, hasTributary, Carbonera Creek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carbonera Creek
Context triple: [San Lorenzo River, hasTributary, Carbonera Creek]
  • A. Carbonera Creek chosen
    Carbonera Creek is a small stream in Santa Cruz County, California, that serves as a tributary to the San Lorenzo River within its watershed.
  • B. Triunfo Creek
    Triunfo Creek is a stream in Southern California that flows through the Santa Monica Mountains, contributing to the Malibu Creek watershed.
  • C. Zaca Creek
    Zaca Creek is an American country music group known for its harmony-driven sound and contributions to the country and Americana scenes in the late 20th century.
  • D. Mariposa Creek
    Mariposa Creek is a stream in central California notable for its early Spanish exploration history and association with the Sierra Nevada foothill town of Mariposa.
  • E. Popolopen Creek
    Popolopen Creek is a tributary of the Hudson River in southeastern New York, known for flowing through the rugged terrain near Bear Mountain and Fort Montgomery in the Hudson Highlands.
  • 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_69e0b4aa68fc8190b1a14c55575ef04a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67bac39288190b294b291301ac843 completed April 20, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0965ca320c81909be85a783b0fc6ca completed May 17, 2026, 6:52 a.m.
Created at: April 16, 2026, 11:31 a.m.