Triple

T15418746
Position Surface form Disambiguated ID Type / Status
Subject Compton, California E369316 entity
Predicate hasLandmark P105 FINISHED
Object Compton Creek NE NERFINISHED

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: [Compton, California, hasLandmark, Compton Creek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Compton Creek
Context triple: [Compton, California, hasLandmark, 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. Etiwanda Creek
    Etiwanda Creek is a natural watercourse in Southern California that flows from the San Gabriel Mountains through the Etiwanda area, contributing to local watershed and habitat.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ebce4f48190ba282ecb4fb2f6fa completed April 16, 2026, 1:43 a.m.
Created at: April 10, 2026, 3:20 a.m.