Triple

T26236314
Position Surface form Disambiguated ID Type / Status
Subject Taiwan Depository & Clearing Corporation E656180 entity
Predicate relatedTo P37 FINISHED
Object Taipei Exchange
Taipei Exchange is Taiwan's over-the-counter securities market operator, providing a platform for trading stocks, bonds, and other financial instruments outside the main stock exchange.
E1749403 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: Taipei Exchange | Statement: [Taiwan Depository & Clearing Corporation, relatedTo, Taipei Exchange]
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: Taipei Exchange
Triple: [Taiwan Depository & Clearing Corporation, relatedTo, Taipei Exchange]
Generated description
Taipei Exchange is Taiwan's over-the-counter securities market operator, providing a platform for trading stocks, bonds, and other financial instruments outside the main stock exchange.

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_69ee5b4b8b408190993da38c0067cc8d completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60d8ab3b481908e7feeda0f8c47fa completed May 2, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12296f79708190afdda5867918924d completed May 23, 2026, 10:25 p.m.
NEDg Description generation batch_6a122a2048408190a3a8cf5a2efa9b08 completed May 23, 2026, 10:28 p.m.
NED2 Entity disambiguation (via description) batch_6a122ac1713481909a80761bb471ef49 completed May 23, 2026, 10:31 p.m.
Created at: April 26, 2026, 9:01 p.m.