Triple

T21525800
Position Surface form Disambiguated ID Type / Status
Subject ThinkPark Tower E531092 entity
Predicate partOfComplex P840 FINISHED
Object ThinkPark
ThinkPark is a mixed-use urban complex in Tokyo that includes office, commercial, and recreational facilities centered around the ThinkPark Tower.
 E531092 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: ThinkPark | Statement: [ThinkPark Tower, partOfComplex, ThinkPark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ThinkPark
Context triple: [ThinkPark Tower, partOfComplex, ThinkPark]
  • A. ThinkPark Tower
    ThinkPark Tower is a large mixed-use office and commercial skyscraper in the Ōsaki area of Tokyo, Japan.
  • B. SantaPark
    SantaPark is a Christmas-themed amusement park and visitor attraction in Lapland dedicated to Santa Claus and festive experiences.
  • C. PARCO
    PARCO is a Japanese department store and shopping mall chain known for its trendy fashion, youth-oriented culture, and urban lifestyle offerings.
  • D. Viewpark
    Viewpark is a residential area in North Lanarkshire, Scotland, known for its post-war housing estates and proximity to the town of Uddingston.
  • E. Como Park
    Como Park is a large historic urban park in Saint Paul, Minnesota, known for its zoo, conservatory, lake, and extensive recreational facilities.
  • 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: ThinkPark
Triple: [ThinkPark Tower, partOfComplex, ThinkPark]
Generated description
ThinkPark is a mixed-use urban complex in Tokyo that includes office, commercial, and recreational facilities centered around the ThinkPark Tower.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ThinkPark
Target entity description: ThinkPark is a mixed-use urban complex in Tokyo that includes office, commercial, and recreational facilities centered around the ThinkPark Tower.
  • A. ThinkPark Tower chosen
    ThinkPark Tower is a large mixed-use office and commercial skyscraper in the Ōsaki area of Tokyo, Japan.
  • B. SantaPark
    SantaPark is a Christmas-themed amusement park and visitor attraction in Lapland dedicated to Santa Claus and festive experiences.
  • C. PARCO
    PARCO is a Japanese department store and shopping mall chain known for its trendy fashion, youth-oriented culture, and urban lifestyle offerings.
  • D. Viewpark
    Viewpark is a residential area in North Lanarkshire, Scotland, known for its post-war housing estates and proximity to the town of Uddingston.
  • E. Como Park
    Como Park is a large historic urban park in Saint Paul, Minnesota, known for its zoo, conservatory, lake, and extensive recreational facilities.
  • F. None of above.

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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee885073888190ae49f967f72acbf8 completed April 26, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09e828fd6c819080e6f4a35ad68207 completed May 17, 2026, 4:09 p.m.
NEDg Description generation batch_6a09e909a4888190aa1d704eb157d86d completed May 17, 2026, 4:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09ea119664819081b072c892fc0471 completed May 17, 2026, 4:17 p.m.
Created at: April 16, 2026, 6:26 p.m.