Triple

T562106
Position Surface form Disambiguated ID Type / Status
Subject Beni Suef Governorate E13473 entity
Predicate hasCity P316 FINISHED
Object Fashn
Fashn is a city in Egypt located within the Beni Suef Governorate along the Nile River.
E70689 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: Fashn | Statement: [Beni Suef Governorate, hasCity, Fashn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fashn
Context triple: [Beni Suef Governorate, hasCity, Fashn]
  • A. HauteLook
    HauteLook is an online flash-sale retailer specializing in limited-time discounts on fashion, beauty, and home goods.
  • B. InStyle
    InStyle is a popular fashion and lifestyle magazine known for its celebrity-focused style coverage, beauty tips, and trend reports.
  • C. Glamour
    Glamour is a popular international women's magazine known for its coverage of fashion, beauty, lifestyle, and celebrity culture.
  • D. FDY
    FDY is the ICAO airline designator assigned to Southern Airways Express, a U.S.-based regional commuter airline.
  • E. FABLife
    FABLife is a lifestyle-focused daytime talk show that featured a panel of hosts, including Chrissy Teigen, discussing topics like fashion, beauty, food, and pop culture.
  • 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: Fashn
Triple: [Beni Suef Governorate, hasCity, Fashn]
Generated description
Fashn is a city in Egypt located within the Beni Suef Governorate along the Nile River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fashn
Target entity description: Fashn is a city in Egypt located within the Beni Suef Governorate along the Nile River.
  • A. HauteLook
    HauteLook is an online flash-sale retailer specializing in limited-time discounts on fashion, beauty, and home goods.
  • B. InStyle
    InStyle is a popular fashion and lifestyle magazine known for its celebrity-focused style coverage, beauty tips, and trend reports.
  • C. Glamour
    Glamour is a popular international women's magazine known for its coverage of fashion, beauty, lifestyle, and celebrity culture.
  • D. FDY
    FDY is the ICAO airline designator assigned to Southern Airways Express, a U.S.-based regional commuter airline.
  • E. FABLife
    FABLife is a lifestyle-focused daytime talk show that featured a panel of hosts, including Chrissy Teigen, discussing topics like fashion, beauty, food, and pop culture.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49a700e608190b235246df057bd9b completed March 1, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ed34f5b4819095eb95b428b53991 completed March 2, 2026, 1:51 a.m.
NEDg Description generation batch_69a4edc267748190b48969d55e70191a completed March 2, 2026, 1:54 a.m.
NED2 Entity disambiguation (via description) batch_69a4ee2ac3288190ab93af9a254cb544 completed March 2, 2026, 1:55 a.m.
Created at: March 1, 2026, 7:32 p.m.