Triple

T1190025
Position Surface form Disambiguated ID Type / Status
Subject MBTA Blue Line E25336 entity
Predicate hasStation P35 FINISHED
Object Aquarium
Aquarium is an MBTA subway station in downtown Boston serving the Blue Line near the New England Aquarium and Boston’s waterfront.
 E136225 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: Aquarium | Statement: [MBTA Blue Line, hasStation, Aquarium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aquarium
Context triple: [MBTA Blue Line, hasStation, Aquarium]
  • A. Aquarium
    The Aquarium at the Memphis Zoo is a dedicated exhibit showcasing a diverse collection of aquatic animals and ecosystems for education and public viewing.
  • B. Wild Reef
    Wild Reef is a major Shedd Aquarium exhibit that recreates a vibrant coral reef ecosystem, featuring sharks, rays, and diverse tropical marine life.
  • C. Aquaracer
    Aquaracer is a TAG Heuer line of luxury sports watches designed for professional-grade water resistance and diving performance.
  • D. Sirena Deep
    Sirena Deep is one of the deepest known points in the world's oceans, located within the Mariana Trench in the western Pacific Ocean.
  • E. Deep Sea World
    Deep Sea World is a popular Scottish aquarium and marine wildlife attraction located near the Forth Bridge in North Queensferry.
  • 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: Aquarium
Triple: [MBTA Blue Line, hasStation, Aquarium]
Generated description
Aquarium is an MBTA subway station in downtown Boston serving the Blue Line near the New England Aquarium and Boston’s waterfront.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aquarium
Target entity description: Aquarium is an MBTA subway station in downtown Boston serving the Blue Line near the New England Aquarium and Boston’s waterfront.
  • A. Aquarium
    The Aquarium at the Memphis Zoo is a dedicated exhibit showcasing a diverse collection of aquatic animals and ecosystems for education and public viewing.
  • B. Wild Reef
    Wild Reef is a major Shedd Aquarium exhibit that recreates a vibrant coral reef ecosystem, featuring sharks, rays, and diverse tropical marine life.
  • C. Aquaracer
    Aquaracer is a TAG Heuer line of luxury sports watches designed for professional-grade water resistance and diving performance.
  • D. Sirena Deep
    Sirena Deep is one of the deepest known points in the world's oceans, located within the Mariana Trench in the western Pacific Ocean.
  • E. Deep Sea World
    Deep Sea World is a popular Scottish aquarium and marine wildlife attraction located near the Forth Bridge in North Queensferry.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd58d8d88190b8d9c9c9de7f4e97 completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac764ccb1c8190a302137a0e67cb88 completed March 7, 2026, 7:02 p.m.
NEDg Description generation batch_69ac76e1b430819092669c6e83d7a62c completed March 7, 2026, 7:05 p.m.
NED2 Entity disambiguation (via description) batch_69ac77670fa08190827ef34ba9d52a70 completed March 7, 2026, 7:07 p.m.
Created at: March 1, 2026, 7:45 p.m.