Triple

T16471990
Position Surface form Disambiguated ID Type / Status
Subject 李讷 E400084 entity
Predicate countryOfBirth P1 FINISHED
Object 中国 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: 中国 | Statement: [李讷, countryOfBirth, 中国]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 中国
Context triple: [李讷, countryOfBirth, 中国]
  • A. China chosen
    China is a vast East Asian country known for its long continuous civilization, large population, and major global economic and political influence.
  • B. Çine
    Çine is a district and town in southwestern Turkey known for its agricultural activities and location within Aydın Province in the Aegean region.
  • C. Kinas
    Kinas is the official rooster mascot created for the UEFA Euro 2004 football championship held in Portugal.
  • D. 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.
  • E. kina
    Kina is the official currency of Papua New Guinea, used for everyday transactions and financial activities throughout the country.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dd19df881909e4562a5e8473338 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00581c24508190b4888357828fed80 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:11 a.m.