Triple

T3537424
Position Surface form Disambiguated ID Type / Status
Subject Bowser E74801 entity
Predicate homeLocation P75 FINISHED
Object Dark Lands E311701 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: Dark Lands | Statement: [Bowser, homeLocation, Dark Lands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dark Lands
Context triple: [Bowser, homeLocation, Dark Lands]
  • A. Dark Land chosen
    Dark Land is the final, lava-filled world ruled by Bowser in Super Mario Bros. 3, known for its high difficulty and fortress-heavy layout.
  • B. Undying Lands
    The Undying Lands are a blessed, immortal realm across the sea in J.R.R. Tolkien’s legendarium, serving as a final haven of peace and healing for Elves and a few chosen mortals.
  • C. Chosen Land
    Chosen Land is the English rendering of the Filipino phrase "Lupang Hinirang," referring to the Philippines as a beloved and honored homeland.
  • D. Land of Fire
    Land of Fire is the English name for Tierra del Fuego, a remote archipelago at South America's southern tip known for its harsh climate, dramatic landscapes, and historic role in exploration.
  • E. Land of Fire
    Land of Fire is a popular epithet for Azerbaijan, reflecting its historic association with natural gas flames and ancient fire-worship.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbcc928248190b851f8280d58cfcf completed March 8, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bd4d5f4819095c962f01fc6f7e8 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.