Triple

T21107175
Position Surface form Disambiguated ID Type / Status
Subject Port of Duqm E520076 entity
Predicate locatedIn P40 FINISHED
Object Duqm
Duqm is a rapidly developing coastal town in central Oman that is being transformed into a major industrial and logistics hub on the Arabian Sea.
E1467089 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: Duqm | Statement: [Port of Duqm, locatedIn, Duqm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duqm
Context triple: [Port of Duqm, locatedIn, Duqm]
  • A. Qurum
    Qurum is a coastal residential and commercial district in Muscat, Oman, known for its beaches, parks, and shopping areas.
  • B. Roqi
    Roqi is a fictional character played by American actress Scarlett Estevez, known for her energetic and youthful presence on screen.
  • C. Qanjobal
    Qanjobal is a Mayan language spoken primarily by the Qʼanjobʼal people in the highlands of Guatemala.
  • D. Daquq
    Daquq is a town in northern Iraq located within the Turkmen-majority cultural region known as Turkmeneli.
  • E. Awaqir
    Awaqir is a prominent Arab tribe based in eastern Libya, historically influential in the region’s social and political landscape.
  • 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: Duqm
Triple: [Port of Duqm, locatedIn, Duqm]
Generated description
Duqm is a rapidly developing coastal town in central Oman that is being transformed into a major industrial and logistics hub on the Arabian Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Duqm
Target entity description: Duqm is a rapidly developing coastal town in central Oman that is being transformed into a major industrial and logistics hub on the Arabian Sea.
  • A. Qurum
    Qurum is a coastal residential and commercial district in Muscat, Oman, known for its beaches, parks, and shopping areas.
  • B. Roqi
    Roqi is a fictional character played by American actress Scarlett Estevez, known for her energetic and youthful presence on screen.
  • C. Qanjobal
    Qanjobal is a Mayan language spoken primarily by the Qʼanjobʼal people in the highlands of Guatemala.
  • D. Daquq
    Daquq is a town in northern Iraq located within the Turkmen-majority cultural region known as Turkmeneli.
  • E. Awaqir
    Awaqir is a prominent Arab tribe based in eastern Libya, historically influential in the region’s social and political landscape.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e720fe800c81909edf215c5f1f27c2 completed April 21, 2026, 7:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a095a670d188190988befc0103ca4ec completed May 17, 2026, 6:04 a.m.
NEDg Description generation batch_6a095c4b5ad8819093e5c0de866be84b completed May 17, 2026, 6:12 a.m.
NED2 Entity disambiguation (via description) batch_6a095cda3c8081908d85b3da4fc1c06f completed May 17, 2026, 6:14 a.m.
Created at: April 16, 2026, 2:53 p.m.