Triple

T12577140
Position Surface form Disambiguated ID Type / Status
Subject Burnet County E300237 entity
Predicate hasFeature P182 FINISHED
Object Inks Lake 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: Inks Lake | Statement: [Burnet County, hasFeature, Inks Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inks Lake
Context triple: [Burnet County, hasFeature, Inks Lake]
  • A. Inks Lake chosen
    Inks Lake is a scenic Highland Lakes reservoir in the Texas Hill Country, popular for boating, fishing, and camping.
  • B. Vandercook Lake
    Vandercook Lake is a small inland lake and surrounding community area located near the city of Jackson in south-central Michigan.
  • C. Riffe Lake
    Riffe Lake is a large reservoir on the Cowlitz River in southwestern Washington, popular for fishing, boating, and camping.
  • D. Scargo Lake
    Scargo Lake is a freshwater kettle pond on Cape Cod in Dennis, Massachusetts, known for recreation, fishing, and its scenic views from nearby Scargo Tower.
  • E. Woahink Lake
    Woahink Lake is a coastal freshwater lake in western Oregon known for its clear waters, surrounding sand dunes, and recreational opportunities like boating and fishing.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954a73c148190bba8f16b1232fd46 completed April 10, 2026, 7:51 p.m.
Created at: April 9, 2026, 4:53 p.m.