Triple

T17197764
Position Surface form Disambiguated ID Type / Status
Subject Andrew Jackson Zilker E417396 entity
Predicate familyName P18 FINISHED
Object Zilker E89968 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: Zilker | Statement: [Andrew Jackson Zilker, familyName, Zilker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zilker
Context triple: [Andrew Jackson Zilker, familyName, Zilker]
  • A. Zilker Park chosen
    Zilker Park is a large, popular urban park in Austin, Texas, known for its green spaces, recreational activities, and major cultural events like the Austin City Limits Music Festival.
  • B. Barton Creek
    Barton Creek is a scenic waterway in central Texas known for its popular greenbelt, swimming holes, and outdoor recreation opportunities in and around Austin.
  • C. Travis Park
    Travis Park is a historic urban park and gathering space located in the heart of downtown San Antonio, Texas.
  • D. Cockrell Hill
    Cockrell Hill is a small, independent city completely surrounded by the city of Dallas in Dallas County, Texas.
  • E. Barton Creek Greenbelt
    Barton Creek Greenbelt is a popular Austin, Texas natural recreation area known for its hiking and biking trails, limestone cliffs, and swimming holes along Barton Creek.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dab718c8190b6f5b08189cf2eb2 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fd7ef048190b0828ec6ea0e119c completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:38 a.m.