Triple

T16189074
Position Surface form Disambiguated ID Type / Status
Subject Qohaito E392886 entity
Predicate hasStructure P35 FINISHED
Object Saphira dam
Saphira dam is an ancient water-management structure associated with the archaeological site of Qohaito in present-day Eritrea.
E1199516 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: Saphira dam | Statement: [Qohaito, hasStructure, Saphira dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saphira dam
Context triple: [Qohaito, hasStructure, Saphira dam]
  • A. Sulmo
    Sulmo is an ancient town in central Italy, historically known as the birthplace of the Roman poet Ovid.
  • B. Sabrina Dam
    Sabrina Dam is a concrete dam in California’s Eastern Sierra Nevada that impounds the Middle Fork of Bishop Creek to form Lake Sabrina, a popular fishing and recreation reservoir.
  • C. Zervreila dam
    Zervreila dam is a large hydroelectric gravity dam in the Swiss Alps that forms Lake Zervreila above the village of Vals in the canton of Graubünden.
  • D. Chersina
    Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
  • E. Dumna
    Dumna is a locality in India known for its proximity to Dumna Airport and its role as a regional transport and residential area.
  • 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: Saphira dam
Triple: [Qohaito, hasStructure, Saphira dam]
Generated description
Saphira dam is an ancient water-management structure associated with the archaeological site of Qohaito in present-day Eritrea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Saphira dam
Target entity description: Saphira dam is an ancient water-management structure associated with the archaeological site of Qohaito in present-day Eritrea.
  • A. Sulmo
    Sulmo is an ancient town in central Italy, historically known as the birthplace of the Roman poet Ovid.
  • B. Sabrina Dam
    Sabrina Dam is a concrete dam in California’s Eastern Sierra Nevada that impounds the Middle Fork of Bishop Creek to form Lake Sabrina, a popular fishing and recreation reservoir.
  • C. Zervreila dam
    Zervreila dam is a large hydroelectric gravity dam in the Swiss Alps that forms Lake Zervreila above the village of Vals in the canton of Graubünden.
  • D. Chersina
    Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
  • E. Dumna
    Dumna is a locality in India known for its proximity to Dumna Airport and its role as a regional transport and residential area.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d3a8e48190bdf29a633f4b0490 completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff0750f08190a2fce65124d8dcc0 completed May 10, 2026, 3:44 a.m.
NEDg Description generation batch_6a000096f344819094fca24a342984e1 completed May 10, 2026, 3:50 a.m.
NED2 Entity disambiguation (via description) batch_6a00012ec15c8190a09e1b37bc560f67 completed May 10, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:02 a.m.