Triple

T2706905
Position Surface form Disambiguated ID Type / Status
Subject Foxconn E59361 entity
Predicate tickerSymbol P1447 FINISHED
Object 2317.TW
2317.TW is the Taiwan Stock Exchange listing for Foxconn (Hon Hai Precision Industry Co., Ltd.), a major global electronics manufacturer and key assembler of products such as Apple’s iPhone.
 E290110 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: 2317.TW | Statement: [Foxconn, tickerSymbol, 2317.TW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 2317.TW
Context triple: [Foxconn, tickerSymbol, 2317.TW]
  • A. TWN
    TWN is the three-letter ISO 3166-1 alpha-3 country code for Taiwan.
  • B. TX-27
    TX-27 is a U.S. congressional district in Texas that elects a representative to the United States House of Representatives.
  • C. Elle Taiwan
    Elle Taiwan is the Taiwanese edition of the international fashion and lifestyle magazine Elle, featuring content tailored to Taiwanese readers and culture.
  • D. Philippine Mobile Belt
    The Philippine Mobile Belt is a tectonically active region in the western Pacific where several microplates interact, producing frequent earthquakes and volcanism.
  • E. S-23
    S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
  • 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: 2317.TW
Triple: [Foxconn, tickerSymbol, 2317.TW]
Generated description
2317.TW is the Taiwan Stock Exchange listing for Foxconn (Hon Hai Precision Industry Co., Ltd.), a major global electronics manufacturer and key assembler of products such as Apple’s iPhone.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 2317.TW
Target entity description: 2317.TW is the Taiwan Stock Exchange listing for Foxconn (Hon Hai Precision Industry Co., Ltd.), a major global electronics manufacturer and key assembler of products such as Apple’s iPhone.
  • A. TWN
    TWN is the three-letter ISO 3166-1 alpha-3 country code for Taiwan.
  • B. TX-27
    TX-27 is a U.S. congressional district in Texas that elects a representative to the United States House of Representatives.
  • C. Elle Taiwan
    Elle Taiwan is the Taiwanese edition of the international fashion and lifestyle magazine Elle, featuring content tailored to Taiwanese readers and culture.
  • D. Philippine Mobile Belt
    The Philippine Mobile Belt is a tectonically active region in the western Pacific where several microplates interact, producing frequent earthquakes and volcanism.
  • E. S-23
    S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
  • 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda725f24819090e8d936b3d2d5bc completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf7c22a4819096ff9effe9e0d77d completed March 10, 2026, 5:43 a.m.
NEDg Description generation batch_69afb039cdcc8190953368c1f6757503 completed March 10, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69afb0c27ee48190a319fd2fab02f755 completed March 10, 2026, 5:48 a.m.
Created at: March 6, 2026, 9:55 p.m.