Triple

T14934775
Position Surface form Disambiguated ID Type / Status
Subject Safaga E372360 entity
Predicate connectsToByFerry P1831 FINISHED
Object Duba
Duba is a coastal town in northwestern Saudi Arabia on the Red Sea, known as a regional port and gateway for maritime travel and trade.
E1128882 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: Duba | Statement: [Safaga, connectsToByFerry, Duba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duba
Context triple: [Safaga, connectsToByFerry, Duba]
  • A. Dombay
    Dombay is a mountain resort settlement in the North Caucasus of Russia, known for its alpine scenery, skiing, and hiking opportunities.
  • B. El Wak
    El Wak is a small border town in northeastern Kenya near the Somali frontier, serving as a local trading and transit hub in the arid region.
  • C. Al-Doha
    Al-Doha is a Palestinian town located in the Bethlehem Governorate of the West Bank.
  • D. Bassel
    Bassel is an Arabic masculine given name commonly used in the Levant and other Arabic-speaking regions.
  • E. Dubai
    Dubai is a major global city in the United Arab Emirates known for its rapid development, luxury tourism, and status as a regional business and financial hub.
  • 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: Duba
Triple: [Safaga, connectsToByFerry, Duba]
Generated description
Duba is a coastal town in northwestern Saudi Arabia on the Red Sea, known as a regional port and gateway for maritime travel and trade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Duba
Target entity description: Duba is a coastal town in northwestern Saudi Arabia on the Red Sea, known as a regional port and gateway for maritime travel and trade.
  • A. Dombay
    Dombay is a mountain resort settlement in the North Caucasus of Russia, known for its alpine scenery, skiing, and hiking opportunities.
  • B. El Wak
    El Wak is a small border town in northeastern Kenya near the Somali frontier, serving as a local trading and transit hub in the arid region.
  • C. Al-Doha
    Al-Doha is a Palestinian town located in the Bethlehem Governorate of the West Bank.
  • D. Bassel
    Bassel is an Arabic masculine given name commonly used in the Levant and other Arabic-speaking regions.
  • E. Dubai
    Dubai is a major global city in the United Arab Emirates known for its rapid development, luxury tourism, and status as a regional business and financial hub.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded647ae388190a0e97c03f2a4d832 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e8c8d188190b027f14256b0ce01 completed May 9, 2026, 12:23 a.m.
NEDg Description generation batch_69fe7ff5c84c8190b3e97f09633bf181 completed May 9, 2026, 12:29 a.m.
NED2 Entity disambiguation (via description) batch_69fe80be100481908dcf07b683fc1411 completed May 9, 2026, 12:33 a.m.
Created at: April 10, 2026, 2:37 a.m.