Triple

T23049218
Position Surface form Disambiguated ID Type / Status
Subject Wasilla High School E573960 entity
Predicate servesCommunity P82 FINISHED
Object Wasilla 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: Wasilla | Statement: [Wasilla High School, servesCommunity, Wasilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wasilla
Context triple: [Wasilla High School, servesCommunity, Wasilla]
  • A. Wasilla chosen
    Wasilla is a small city in south-central Alaska known as part of the Anchorage metropolitan area and for being the hometown of former governor Sarah Palin.
  • B. Kirwan
    Kirwan is a surname of Irish origin associated with several notable figures in sports, politics, and the arts.
  • C. Obiliq
    Obiliq is a town in central Kosovo known for its proximity to the historic Kosovo Field and its significant coal mining and power generation facilities.
  • D. Las Anod
    Las Anod is a town in the Sool region of northern Somalia that serves as a regional political and commercial center and has been a focal point in Somali territorial disputes.
  • E. Naab
    The Naab is a river in Bavaria, Germany, that flows through the Upper Palatinate region before joining the Danube.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867b800881909fabf9dca994c9e7 completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:54 p.m.