Triple

T3713995
Position Surface form Disambiguated ID Type / Status
Subject Alexander Archipelago E81481 entity
Predicate hasCity P316 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: [Alexander Archipelago, hasCity, Sitka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sitka
Context triple: [Alexander Archipelago, hasCity, 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. 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.
  • 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_69ad8b1a81588190b3f27a5483bb610e completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc9ccfad081908730ed15c6f87ce2 completed March 8, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf219021d081909d814d0dbf564501 completed March 21, 2026, 10:54 p.m.
Created at: March 8, 2026, 3:33 p.m.