Triple

T6184502
Position Surface form Disambiguated ID Type / Status
Subject Luilang language E138022 entity
Predicate location P40 FINISHED
Object Taipei Basin E376094 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: Taipei Basin | Statement: [Luilang language, location, Taipei Basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taipei Basin
Context triple: [Luilang language, location, Taipei Basin]
  • A. Lau Basin
    The Lau Basin is a back-arc basin in the southwest Pacific characterized by active seafloor spreading, hydrothermal vent fields, and complex tectonic interactions between the Pacific and Indo-Australian Plates.
  • B. Central Tai
    Central Tai is a branch of the Tai language family spoken in parts of Southeast Asia, distinct from but closely related to the Southwestern Tai languages.
  • C. northern Taiwan chosen
    Northern Taiwan is the island’s most urbanized and economically developed region, encompassing the capital Taipei and its surrounding metropolitan areas.
  • D. eastern Taiwan
    Eastern Taiwan is a relatively less urbanized, mountainous and coastal region of Taiwan known for its significant Indigenous populations, scenic landscapes, and strong cultural traditions.
  • E. Xinyi
    Xinyi is a county-level city administered by Xuzhou in Jiangsu Province, eastern China.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c061020d148190ae2edf2b363f1e24 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141c6b5888190983bff620c7663cc completed March 23, 2026, 1:36 p.m.
Created at: March 22, 2026, 4:19 p.m.