Triple

T13570747
Position Surface form Disambiguated ID Type / Status
Subject Saxon Shore forts E324152 entity
Predicate hasPart P35 FINISHED
Object Othona
Othona was a late Roman coastal fort on the Essex coast of England, built to defend the Saxon Shore and later the site of an early Christian community.
 E1048217 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: Othona | Statement: [Saxon Shore forts, hasPart, Othona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Othona
Context triple: [Saxon Shore forts, hasPart, Othona]
  • A. Othomi
    Othomi is an alternative name for the Otomi people and their indigenous language of central Mexico.
  • B. Onhaye
    Onhaye is a small municipality in the Walloon region of Belgium, known for its rural landscapes and historic villages.
  • C. Thebae
    Thebae is the Latin name for the ancient Egyptian city of Thebes, a major religious and political center on the Nile known for its temples and royal necropolis.
  • D. Orahili
    Orahili is a traditional village on Indonesia’s Nias Island known for its distinctive vernacular architecture and preserved local customs.
  • E. Comala
    Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
  • 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: Othona
Triple: [Saxon Shore forts, hasPart, Othona]
Generated description
Othona was a late Roman coastal fort on the Essex coast of England, built to defend the Saxon Shore and later the site of an early Christian community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Othona
Target entity description: Othona was a late Roman coastal fort on the Essex coast of England, built to defend the Saxon Shore and later the site of an early Christian community.
  • A. Othomi
    Othomi is an alternative name for the Otomi people and their indigenous language of central Mexico.
  • B. Onhaye
    Onhaye is a small municipality in the Walloon region of Belgium, known for its rural landscapes and historic villages.
  • C. Thebae
    Thebae is the Latin name for the ancient Egyptian city of Thebes, a major religious and political center on the Nile known for its temples and royal necropolis.
  • D. Orahili
    Orahili is a traditional village on Indonesia’s Nias Island known for its distinctive vernacular architecture and preserved local customs.
  • E. Comala
    Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00f5b8881908617f42d227ed137 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bb61a40819099a62f65a68dff7b completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f77640b5308190aaa50e8d5d871832 completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f7791add908190af69b23a54eb7560 completed May 3, 2026, 4:34 p.m.
Created at: April 9, 2026, 9:48 p.m.