Triple

T9984391
Position Surface form Disambiguated ID Type / Status
Subject Health Sciences Building E196530 entity
Predicate city P40 FINISHED
Object Anchorage E7113 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: Anchorage | Statement: [Health Sciences Building, city, Anchorage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anchorage
Context triple: [Health Sciences Building, city, Anchorage]
  • A. Anchorage chosen
    Anchorage is a major Alaskan city known as a key economic, transportation, and cultural hub for the state and the broader Arctic region.
  • B. Fairbanks
    Fairbanks is the second-largest city in Alaska, known for its extreme subarctic climate, northern lights viewing, and role as a regional hub for interior Alaska.
  • C. Fairbanks
    Fairbanks is a surname most famously associated with Douglas Fairbanks, a pioneering American silent film actor, producer, and one of the founders of United Artists.
  • D. Ketchikan
    Ketchikan is a coastal city in southeastern Alaska known for its rich Native Alaskan culture, historic downtown, and status as a major cruise ship and fishing port.
  • E. Juneau
    Juneau is a remote, coastal city in southeastern Alaska known for its dramatic mountain-and-glacier scenery and role as the state's political and administrative center.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8bf5adc81908c862b75053dd8f1 completed April 2, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d30020305c81909c4fb01291c70cb6 completed April 6, 2026, 12:36 a.m.
Created at: March 30, 2026, 8:49 p.m.