Triple

T3550235
Position Surface form Disambiguated ID Type / Status
Subject Faiyum Governorate E75092 entity
Predicate hasCity P316 FINISHED
Object Tamiya
Tamiya is a city in Egypt’s Faiyum Governorate, known primarily as a local agricultural and administrative center in the Faiyum region.
 E368040 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: Tamiya | Statement: [Faiyum Governorate, hasCity, Tamiya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tamiya
Context triple: [Faiyum Governorate, hasCity, Tamiya]
  • A. Revell
    Revell is a surname most notably associated with Finnish architect Viljo Revell, known for his modernist designs such as Toronto City Hall.
  • B. Toyota Kluger
    The Toyota Kluger is a mid-size crossover SUV produced by Toyota, marketed in various regions as a comfortable, family-oriented vehicle with three-row seating.
  • C. Yuasa
    Yuasa is a historic coastal town in Japan renowned as the birthplace of traditional soy sauce production.
  • D. Neoplan
    Neoplan is a German bus and coach manufacturer renowned for its innovative, high-end touring and city buses.
  • E. Kawada Industries
    Kawada Industries is a Japanese engineering and construction company known for its work on major infrastructure projects, including prominent bridges and civil works.
  • 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: Tamiya
Triple: [Faiyum Governorate, hasCity, Tamiya]
Generated description
Tamiya is a city in Egypt’s Faiyum Governorate, known primarily as a local agricultural and administrative center in the Faiyum region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tamiya
Target entity description: Tamiya is a city in Egypt’s Faiyum Governorate, known primarily as a local agricultural and administrative center in the Faiyum region.
  • A. Revell
    Revell is a surname most notably associated with Finnish architect Viljo Revell, known for his modernist designs such as Toronto City Hall.
  • B. Toyota Kluger
    The Toyota Kluger is a mid-size crossover SUV produced by Toyota, marketed in various regions as a comfortable, family-oriented vehicle with three-row seating.
  • C. Yuasa
    Yuasa is a historic coastal town in Japan renowned as the birthplace of traditional soy sauce production.
  • D. Neoplan
    Neoplan is a German bus and coach manufacturer renowned for its innovative, high-end touring and city buses.
  • E. Kawada Industries
    Kawada Industries is a Japanese engineering and construction company known for its work on major infrastructure projects, including prominent bridges and civil works.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbfd38c8c8190a4591689ad57c998 completed March 8, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38be9335c81909ba546a079134c8f completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38c5cfb608190b451be14246d5481 completed March 13, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_69b38ce0e1688190a7ee3d079fb83f3d completed March 13, 2026, 4:04 a.m.
Created at: March 8, 2026, 3:20 p.m.