Triple

T15189802
Position Surface form Disambiguated ID Type / Status
Subject Omani Empire E362977 entity
Predicate notablePort P6498 FINISHED
Object Sur
Sur is a historic coastal city in Oman renowned for its traditional dhow-building industry and long-standing role as a key maritime trade hub in the Indian Ocean.
 E1141831 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: Sur | Statement: [Omani Empire, notablePort, Sur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sur
Context triple: [Omani Empire, notablePort, Sur]
  • A. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • B. Su
    Su is a skilled and deadly martial artist portrayed by Jet Li in the action film "Cradle 2 the Grave."
  • C. Su
    Su is the given name of Su Rogers, a British architect and academic known for her contributions to modern architecture and design education.
  • D. Su
    Su is a Chinese surname borne by many notable historical and contemporary figures, including the Song dynasty poet and statesman Su Shi.
  • E. Su
    Su is one of Mulan’s three close friends and fellow female warriors-in-training featured in Disney’s animated sequel "Mulan II."
  • 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: Sur
Triple: [Omani Empire, notablePort, Sur]
Generated description
Sur is a historic coastal city in Oman renowned for its traditional dhow-building industry and long-standing role as a key maritime trade hub in the Indian Ocean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sur
Target entity description: Sur is a historic coastal city in Oman renowned for its traditional dhow-building industry and long-standing role as a key maritime trade hub in the Indian Ocean.
  • A. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • B. Su
    Su is a skilled and deadly martial artist portrayed by Jet Li in the action film "Cradle 2 the Grave."
  • C. Su
    Su is the given name of Su Rogers, a British architect and academic known for her contributions to modern architecture and design education.
  • D. Su
    Su is a Chinese surname borne by many notable historical and contemporary figures, including the Song dynasty poet and statesman Su Shi.
  • E. Su
    Su is one of Mulan’s three close friends and fellow female warriors-in-training featured in Disney’s animated sequel "Mulan II."
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067beedc8190abc0a94c7a38f85e completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec89797ac819090fb68bb5f2fad5c completed May 9, 2026, 5:39 a.m.
NEDg Description generation batch_69fec974f39c819081dcec5c18090cf7 completed May 9, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69feca9d1a5c8190b0c649f83a74231b completed May 9, 2026, 5:48 a.m.
Created at: April 10, 2026, 3:10 a.m.