Triple

T17141101
Position Surface form Disambiguated ID Type / Status
Subject Mandopop E415963 entity
Predicate culturalRegion P1968 FINISHED
Object Mainland China E5561 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: Mainland China | Statement: [Mandopop, culturalRegion, Mainland China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mainland China
Context triple: [Mandopop, culturalRegion, Mainland China]
  • A. Chung Kuo
    "Chung Kuo" is an instrumental electronic music track by Vangelis from his 1979 album "China," evoking an atmospheric, synthesizer-driven portrait of China.
  • B. China chosen
    China is a vast East Asian country known for its long continuous civilization, large population, and major global economic and political influence.
  • C. China and Taiwan
    China and Taiwan are East Asian political entities whose complex and longstanding sovereignty dispute extends into maritime territorial claims in the South China Sea.
  • D. Kinas
    Kinas is the official rooster mascot created for the UEFA Euro 2004 football championship held in Portugal.
  • E. Çine
    Çine is a district and town in southwestern Turkey known for its agricultural activities and location within Aydın Province in the Aegean region.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d44a508190a3a149c3a64957f5 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0170e362048190beb72cd6aab496fb completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:36 a.m.