Triple

T4597852
Position Surface form Disambiguated ID Type / Status
Subject Tencent E100247 entity
Predicate stockTicker P1447 FINISHED
Object TCEHY
TCEHY is the U.S. over-the-counter stock ticker for Tencent Holdings Limited, a major Chinese multinational technology and entertainment conglomerate.
 E459594 NE FINISHED

How this triple was built (4 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, stockTicker, TCEHY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TCEHY
Context triple: [Tencent, stockTicker, TCEHY]
  • A. 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.
  • B. TCA
    TCA is the commonly used abbreviation for the Technical Cooperation Administration, a former U.S. government agency responsible for administering foreign aid and technical assistance programs.
  • C. TCA
    TCA is the three-letter ISO 3166-1 alpha-3 country code for the Turks and Caicos Islands.
  • D. TCA
    TCA is the IATA airport code for Tennant Creek Airport in Australia’s Northern Territory.
  • E. ECY
    ECY is the commonly used acronym for the Washington State Department of Ecology, the state agency responsible for environmental protection and natural resource management in Washington.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TCEHY
Triple: [Tencent, stockTicker, TCEHY]
Generated description
TCEHY is the U.S. over-the-counter stock ticker for Tencent Holdings Limited, a major Chinese multinational technology and entertainment conglomerate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TCEHY
Target entity description: TCEHY is the U.S. over-the-counter stock ticker for Tencent Holdings Limited, a major Chinese multinational technology and entertainment conglomerate.
  • A. 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.
  • B. TCA
    TCA is the commonly used abbreviation for the Technical Cooperation Administration, a former U.S. government agency responsible for administering foreign aid and technical assistance programs.
  • C. TCA
    TCA is the three-letter ISO 3166-1 alpha-3 country code for the Turks and Caicos Islands.
  • D. TCA
    TCA is the IATA airport code for Tennant Creek Airport in Australia’s Northern Territory.
  • E. ECY
    ECY is the commonly used acronym for the Washington State Department of Ecology, the state agency responsible for environmental protection and natural resource management in Washington.
  • F. None of above. chosen

Provenance (5 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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59420c108190b5c2c5039e964da5 completed March 20, 2026, 2:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa4f26d08190b9978c579623adcb completed March 21, 2026, 1:54 a.m.
NEDg Description generation batch_69bdfb37b1448190a4001b9ed2b79012 completed March 21, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc0e456c81908efa3858d981ccc0 completed March 21, 2026, 2:01 a.m.
Created at: March 20, 2026, 1:11 p.m.