Triple

T11263556
Position Surface form Disambiguated ID Type / Status
Subject Dominguez Channel E266623 entity
Predicate hasTributary P415 FINISHED
Object Compton Creek E597828 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: Compton Creek | Statement: [Dominguez Channel, hasTributary, Compton Creek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Compton Creek
Context triple: [Dominguez Channel, hasTributary, Compton Creek]
  • A. Compton Creek chosen
    Compton Creek is an urban tributary of the Los Angeles River that runs through the city of Compton in southern Los Angeles County, California.
  • B. Tionesta Creek
    Tionesta Creek is a forested waterway in northwestern Pennsylvania known for its scenic valley, recreational opportunities, and contribution to the Allegheny River watershed.
  • C. Popes Creek
    Popes Creek is a tidal tributary of the Potomac River in Virginia, best known as the waterway bordering the birthplace of George Washington.
  • D. Curtis Creek
    Curtis Creek is a tidal waterway in Maryland that flows into the Patapsco River near the Baltimore area, serving both industrial and recreational uses.
  • E. Sonoita Creek
    Sonoita Creek is a stream in southern Arizona that flows through scenic canyons and riparian habitats, supporting diverse wildlife and vegetation in an otherwise arid 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94d56048190bf808e1bc2188714 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfcbbf408190a87f471d2732148b completed May 9, 2026, 5:02 a.m.
Created at: April 8, 2026, 9:31 p.m.