Triple

T17090549
Position Surface form Disambiguated ID Type / Status
Subject Southern Alaska E414712 entity
Predicate contains P35 FINISHED
Object Sitka E14497 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: Sitka | Statement: [Southern Alaska, contains, Sitka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sitka
Context triple: [Southern Alaska, contains, Sitka]
  • A. Sitka chosen
    Sitka is a historic coastal city in southeastern Alaska known for its Tlingit and Russian heritage, scenic island setting, and abundant wildlife.
  • B. 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.
  • C. Petersburg, Alaska
    Petersburg, Alaska is a small fishing town in Southeast Alaska known for its strong Norwegian heritage and thriving commercial fishing industry.
  • D. Palmer, Alaska
    Palmer, Alaska is a small agricultural city in the Matanuska-Susitna Valley known for its farming heritage, scenic mountain surroundings, and role as a regional hub northeast of Anchorage.
  • E. Yakutat
    Yakutat is a small coastal city in southeastern Alaska known for its remote location, fishing industry, and access to the Gulf of Alaska’s rugged natural landscapes.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbf948d88190a4dd4a0774a8505b completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01673ff7ec8190add7af932c38deef completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:35 a.m.