Triple

T20265872
Position Surface form Disambiguated ID Type / Status
Subject Atascosa County E498965 entity
Predicate namedAfter P63 FINISHED
Object River Atascosa 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: River Atascosa | Statement: [Atascosa County, namedAfter, River Atascosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Atascosa
Context triple: [Atascosa County, namedAfter, River Atascosa]
  • A. Atascosa River chosen
    The Atascosa River is a south-central Texas waterway that flows through ranchlands and brush country before joining the Nueces River.
  • B. Conchas River
    The Conchas River is a watercourse in southern Chile that feeds into the glacial Lake Todos los Santos within the Andean region of Los Lagos.
  • C. Conchas River
    The Conchas River is a tributary waterway in the southwestern United States that feeds into the Canadian River, contributing to its flow and watershed.
  • D. Alamo River
    The Alamo River is a man-made drainage waterway in the Imperial Valley of Southern California that carries agricultural runoff southward into the Salton Sea.
  • E. Frio River
    The Frio River is a clear, spring-fed river in Texas known for its scenic limestone banks, cool waters, and popularity for tubing, swimming, and camping.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674cf3d648190a0b0a7795045228a completed April 20, 2026, 6:47 p.m.
Created at: April 11, 2026, 11:42 p.m.