Triple

T15479605
Position Surface form Disambiguated ID Type / Status
Subject Kassis E376879 entity
Predicate hasGeographicOrigin P26 FINISHED
Object Jordan
Jordan is a Middle Eastern country known for its rich history, archaeological sites like Petra, and its location at the crossroads of Asia, Africa, and Europe.
 E11658 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: [Kassis, hasGeographicOrigin, Jordan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jordan
Context triple: [Kassis, hasGeographicOrigin, 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 is a municipality in the Philippines that serves as the capital of the island province of Guimaras in the Western Visayas region.
  • E. 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.
  • 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: [Kassis, hasGeographicOrigin, Jordan]
Generated description
Jordan is a Middle Eastern country known for its rich history, archaeological sites like Petra, and its location at the crossroads of Asia, Africa, and Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jordan
Target entity description: Jordan is a Middle Eastern country known for its rich history, archaeological sites like Petra, and its location at the crossroads of Asia, Africa, and Europe.
  • A. Jordan chosen
    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.
  • B. Jordan
    Jordan is a common given name used by people of all genders in many English-speaking and other countries.
  • C. Jordan
    Jordan is a municipality in the Philippines that serves as the capital of the island province of Guimaras in the Western Visayas region.
  • D. 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.
  • E. Jordan
    Jordan is a busy urban area in Kowloon, Hong Kong, known for its dense mix of residential buildings, shops, and traditional eateries.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8a77a081909f12f13660452f4a completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d0b3e7881908f195701fe222371 completed May 9, 2026, 12:48 p.m.
NEDg Description generation batch_69ff2e4010dc8190b0f81d03acf8ba41 completed May 9, 2026, 12:53 p.m.
NED2 Entity disambiguation (via description) batch_69ff310c2d5c819093295c45307176ec completed May 9, 2026, 1:05 p.m.
Created at: April 10, 2026, 3:34 a.m.