Triple

T2089045
Position Surface form Disambiguated ID Type / Status
Subject Giza Governorate E32623 entity
Predicate hasUNLocode P1492 FINISHED
Object EGGZ
EGGZ is the UN/LOCODE designation for the Giza Governorate region in Egypt, used in international trade and transport logistics.
E232520 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: EGGZ | Statement: [Giza Governorate, hasUNLocode, EGGZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EGGZ
Context triple: [Giza Governorate, hasUNLocode, EGGZ]
  • A. EGGP
    EGGP is the ICAO airport code for Liverpool John Lennon Airport in Liverpool, England.
  • B. EGGW
    EGGW is the ICAO airport code for London Luton Airport, a major international airport serving the London area in the United Kingdom.
  • C. The Egg
    The Egg is a modern, student-centered dining and learning facility at the Culinary Institute of America’s Hyde Park campus that showcases culinary education in a real-world restaurant environment.
  • D. The Egg
    The Egg is an iconic, egg-shaped performing arts venue in Albany, New York, known for its distinctive modernist architecture and role as a cultural center.
  • E. Big Egg
    Big Egg is the popular nickname for the Tokyo Dome, a large indoor baseball stadium in Tokyo that hosts the Yomiuri Giants and major sporting and entertainment events.
  • 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: EGGZ
Triple: [Giza Governorate, hasUNLocode, EGGZ]
Generated description
EGGZ is the UN/LOCODE designation for the Giza Governorate region in Egypt, used in international trade and transport logistics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EGGZ
Target entity description: EGGZ is the UN/LOCODE designation for the Giza Governorate region in Egypt, used in international trade and transport logistics.
  • A. EGGP
    EGGP is the ICAO airport code for Liverpool John Lennon Airport in Liverpool, England.
  • B. EGGW
    EGGW is the ICAO airport code for London Luton Airport, a major international airport serving the London area in the United Kingdom.
  • C. The Egg
    The Egg is a modern, student-centered dining and learning facility at the Culinary Institute of America’s Hyde Park campus that showcases culinary education in a real-world restaurant environment.
  • D. The Egg
    The Egg is an iconic, egg-shaped performing arts venue in Albany, New York, known for its distinctive modernist architecture and role as a cultural center.
  • E. Big Egg
    Big Egg is the popular nickname for the Tokyo Dome, a large indoor baseball stadium in Tokyo that hosts the Yomiuri Giants and major sporting and entertainment events.
  • 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_69a885eba0708190999696a45cbec816 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba730a5c8190a85be72149574d79 completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2742834c8190ad9be71128959e0c completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae2bd9c41c819089f65019e2fb93ad completed March 9, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_69ae2c61c3e08190a0ab44db0af9eb55 completed March 9, 2026, 2:11 a.m.
Created at: March 4, 2026, 7:43 p.m.