Triple

T13265739
Position Surface form Disambiguated ID Type / Status
Subject Yau Ma Tei E315917 entity
Predicate adjacentTo P224 FINISHED
Object Jordan
Jordan is a busy urban area in Kowloon, Hong Kong, known for its dense mix of residential buildings, shops, and traditional eateries.
 E1031209 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: Jordan | Statement: [Yau Ma Tei, adjacentTo, Jordan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jordan
Context triple: [Yau Ma Tei, adjacentTo, Jordan]
  • A. Jordan
    Jordan is a scientist known for formally describing the bacterial genus Bradyrhizobium.
  • B. Jordan
    "Jordan" is a song featured on Emmylou Harris's bluegrass-influenced album "Roses in the Snow."
  • C. Jordan
    Jordan is a popular Nike-owned athletic footwear and apparel brand originally inspired by basketball legend Michael Jordan and known for its iconic Air Jordan sneakers.
  • D. Jordan
    Jordan was a Formula One racing team and constructor known for launching the careers of several top drivers and competing in the sport during the 1990s and early 2000s.
  • E. Jordan
    Jordan is a small community in the town of Lincoln, Ontario, known for its wineries, fruit farms, and scenic location on the Niagara Peninsula.
  • 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: Jordan
Triple: [Yau Ma Tei, adjacentTo, Jordan]
Generated description
Jordan is a busy urban area in Kowloon, Hong Kong, known for its dense mix of residential buildings, shops, and traditional eateries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jordan
Target entity description: Jordan is a busy urban area in Kowloon, Hong Kong, known for its dense mix of residential buildings, shops, and traditional eateries.
  • A. Jordan
    Jordan is a small community in the town of Lincoln, Ontario, known for its wineries, fruit farms, and scenic location on the Niagara Peninsula.
  • B. Jordan
    Jordan is a municipality in the Philippines that serves as the capital of the island province of Guimaras in the Western Visayas region.
  • C. Jordan
    Jordan is a Middle Eastern country located at the crossroads of Asia, Africa, and Europe, known for its ancient archaeological sites like Petra and its strategic political role in the region.
  • D. Jordan
    Jordan is a common given name used by people of all genders in many English-speaking and other countries.
  • E. Jordan
    Jordan is a popular Nike-owned athletic footwear and apparel brand originally inspired by basketball legend Michael Jordan and known for its iconic Air Jordan sneakers.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901e44bc8190966f87ae219d6bf4 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a4ad79c8190b1304942dc48c0ff completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70b37ebe081909ed2ae0f42ccad2d completed May 3, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_69f70ca343f08190b6484f464ed40810 completed May 3, 2026, 8:51 a.m.
Created at: April 9, 2026, 9:25 p.m.