Triple

T11919330
Position Surface form Disambiguated ID Type / Status
Subject Etiwanda E283612 entity
Predicate hasFeature P182 FINISHED
Object Etiwanda Wash E283612 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: Etiwanda Wash | Statement: [Etiwanda, hasFeature, Etiwanda Wash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etiwanda Wash
Context triple: [Etiwanda, hasFeature, Etiwanda Wash]
  • A. Etiwanda chosen
    Etiwanda is a historic former community in Southern California, now part of the city of Rancho Cucamonga, known for its early role in citrus agriculture and irrigation development.
  • B. Apswa
    Apswa is the endonym used by the Abkhaz people to refer to themselves and their language.
  • C. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • D. Egingwah
    Egingwah was an Inuit hunter and guide who played a crucial role in early 20th-century Arctic exploration, including expeditions toward the North Pole.
  • E. Owendo
    Owendo is a port city in western Gabon that serves as an important industrial and maritime hub near the capital, Libreville.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e8dff77481908cacf6ad03df34ac completed April 10, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f45891f9c081909250a0aa0f7448d2 completed May 1, 2026, 7:38 a.m.
Created at: April 8, 2026, 9:44 p.m.