Triple

T6012500
Position Surface form Disambiguated ID Type / Status
Subject Kenai E133868 entity
Predicate near P350 FINISHED
Object Soldotna E291234 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: Soldotna | Statement: [Kenai, near, Soldotna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soldotna
Context triple: [Kenai, near, Soldotna]
  • A. Soldotna chosen
    Soldotna is a small city on Alaska’s Kenai Peninsula known for its world-class salmon fishing on the Kenai River and its role as a regional service and tourism hub.
  • B. Girdwood
    Girdwood is a resort town near Anchorage known for its ski slopes at Alyeska Resort and access to outdoor recreation in the Chugach Mountains.
  • C. Anchorage
    Anchorage is a major Alaskan city known as a key economic, transportation, and cultural hub for the state and the broader Arctic region.
  • D. Valdez
    Valdez is a small coastal city in southern Alaska known for its deep-water port, dramatic mountain scenery, and role as the terminus of the Trans-Alaska Pipeline.
  • E. Petersburg, Alaska
    Petersburg, Alaska is a small fishing town in Southeast Alaska known for its strong Norwegian heritage and thriving commercial fishing industry.
  • 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f528acc8190bc6943d812460b57 completed March 22, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108a7afe88190adeb690f40b2e1e9 completed March 23, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:06 p.m.