Triple

T18794383
Position Surface form Disambiguated ID Type / Status
Subject Tencent Holdings Limited E459594 entity
Predicate hasADR P52863 FINISHED
Object TCEHY NE NERFINISHED

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: TCEHY | Statement: [Tencent Holdings Limited, hasADR, TCEHY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TCEHY
Context triple: [Tencent Holdings Limited, hasADR, TCEHY]
  • A. TCEHY chosen
    TCEHY is the U.S. over-the-counter stock ticker for Tencent Holdings Limited, a major Chinese multinational technology and entertainment conglomerate.
  • B. YCE
    YCE is the abbreviated name of the UNEP Young Champions of the Earth program, a United Nations initiative that recognizes and supports outstanding young environmental leaders worldwide.
  • C. CEHC
    CEHC is an academic college focused on education and research in emergency preparedness, homeland security, and cybersecurity.
  • D. HYC
    HYC is the National Rail station code for Hyde Central railway station in Greater Manchester, England.
  • E. TCH
    TCH was the International Ice Hockey Federation (IIHF) country code used to represent the Czechoslovakia men's national ice hockey team in international competition.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a01cc0c0819098ef4326e82ff524 completed April 20, 2026, 3:40 a.m.
Created at: April 10, 2026, 11:53 a.m.