Triple

T17819859
Position Surface form Disambiguated ID Type / Status
Subject Red Sea state E444949 entity
Predicate hasPortCity P2745 FINISHED
Object Suakin
Suakin is a historic port city on Sudan’s Red Sea coast that was once a major hub for trade and pilgrimage between Africa and the Arabian Peninsula.
E1289870 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: Suakin | Statement: [Red Sea state, hasPortCity, Suakin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suakin
Context triple: [Red Sea state, hasPortCity, Suakin]
  • A. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • B. Sukeva
    Sukeva is a village in northern Finland best known for housing the Sukevan vankila prison facility.
  • C. Senyavin
    Senyavin is a Russian surname most notably associated with a family of naval officers and admirals in the Imperial Russian Navy.
  • D. Surlej
    Surlej is a small hamlet in the municipality of Silvaplana in Switzerland’s Upper Engadine region, known for its scenic alpine setting near Lake Silvaplana.
  • E. Solita
    Solita is a small municipality located in the Caquetá Department of southern Colombia, known for its rural character within the Amazonian foothills region.
  • 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: Suakin
Triple: [Red Sea state, hasPortCity, Suakin]
Generated description
Suakin is a historic port city on Sudan’s Red Sea coast that was once a major hub for trade and pilgrimage between Africa and the Arabian Peninsula.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Suakin
Target entity description: Suakin is a historic port city on Sudan’s Red Sea coast that was once a major hub for trade and pilgrimage between Africa and the Arabian Peninsula.
  • A. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • B. Sukeva
    Sukeva is a village in northern Finland best known for housing the Sukevan vankila prison facility.
  • C. Senyavin
    Senyavin is a Russian surname most notably associated with a family of naval officers and admirals in the Imperial Russian Navy.
  • D. Surlej
    Surlej is a small hamlet in the municipality of Silvaplana in Switzerland’s Upper Engadine region, known for its scenic alpine setting near Lake Silvaplana.
  • E. Solita
    Solita is a small municipality located in the Caquetá Department of southern Colombia, known for its rural character within the Amazonian foothills region.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e489101aa48190a1439d8cb683bba9 completed April 19, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02ff680b548190b6f1fbc09335ff31 completed May 12, 2026, 10:22 a.m.
NEDg Description generation batch_6a0300ca1ac88190b474ac8276d55445 completed May 12, 2026, 10:28 a.m.
NED2 Entity disambiguation (via description) batch_6a03017f7ea08190b3a98db1c429d04f completed May 12, 2026, 10:31 a.m.
Created at: April 10, 2026, 10:15 a.m.