Triple

T6407567
Position Surface form Disambiguated ID Type / Status
Subject Tanana River E127623 entity
Predicate flowsPast P4996 FINISHED
Object Nenana E353374 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: Nenana | Statement: [Tanana River, flowsPast, Nenana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nenana
Context triple: [Tanana River, flowsPast, Nenana]
  • A. Nenana chosen
    Nenana is a small Alaskan city known for its historic railroad bridge, river transportation role, and the annual Nenana Ice Classic ice-melt lottery.
  • B. Kobuk
    Kobuk is a small, remote city in northwestern Alaska located along the Kobuk River above the Arctic Circle.
  • C. Nuiqsut
    Nuiqsut is a small Inupiat community in northern Alaska located near the Arctic Ocean and closely tied to the region’s oil and gas development.
  • D. Atikokan
    Atikokan is a small town in northwestern Ontario, Canada, known as a primary gateway community to Quetico Provincial Park and the surrounding wilderness canoeing areas.
  • E. Kenai
    Kenai is a small coastal city on Alaska’s Kenai Peninsula known for its rich salmon fisheries and scenic views of Cook Inlet and surrounding mountains.
  • 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_69c0083723d88190b1e37b19df162c08 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068ccd804819097b106604372c14a completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638b38c888190aa2433173db64c90 completed March 27, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:41 p.m.