Triple

T642280
Position Surface form Disambiguated ID Type / Status
Subject NYSE Arca E16764 entity
Predicate formerName P65 FINISHED
Object Archipelago Exchange
Archipelago Exchange was an early electronic communications network (ECN) and stock exchange platform that later evolved into what is now known as NYSE Arca.
E80272 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: Archipelago Exchange | Statement: [NYSE Arca, formerName, Archipelago Exchange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Archipelago Exchange
Context triple: [NYSE Arca, formerName, Archipelago Exchange]
  • A. Viper Island
    Viper Island is a small historic island in the Andaman archipelago, known for its former British-era prison ruins and proximity to Port Blair.
  • B. Harborland
    Harborland is a popular waterfront shopping and entertainment district in Kobe, Japan, known for its modern malls, restaurants, and scenic harbor views.
  • C. Taihoku
    Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
  • D. Negaraku
    Negaraku is the national anthem of Malaysia, symbolizing the country's sovereignty and unity.
  • E. Kaiyukan
    Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
  • 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: Archipelago Exchange
Triple: [NYSE Arca, formerName, Archipelago Exchange]
Generated description
Archipelago Exchange was an early electronic communications network (ECN) and stock exchange platform that later evolved into what is now known as NYSE Arca.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Archipelago Exchange
Target entity description: Archipelago Exchange was an early electronic communications network (ECN) and stock exchange platform that later evolved into what is now known as NYSE Arca.
  • A. Viper Island
    Viper Island is a small historic island in the Andaman archipelago, known for its former British-era prison ruins and proximity to Port Blair.
  • B. Harborland
    Harborland is a popular waterfront shopping and entertainment district in Kobe, Japan, known for its modern malls, restaurants, and scenic harbor views.
  • C. Taihoku
    Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
  • D. Negaraku
    Negaraku is the national anthem of Malaysia, symbolizing the country's sovereignty and unity.
  • E. Kaiyukan
    Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49f02bc2c8190b8a92b2505768c19 completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5778faa788190ac246d6cd6b983f4 completed March 2, 2026, 11:42 a.m.
NEDg Description generation batch_69a57806b6148190a56a1ed535bb3a65 completed March 2, 2026, 11:44 a.m.
NED2 Entity disambiguation (via description) batch_69a5785996748190ae7761d190bbd35f completed March 2, 2026, 11:45 a.m.
Created at: March 1, 2026, 7:36 p.m.