Triple

T10959848
Position Surface form Disambiguated ID Type / Status
Subject Manchester Parish E258940 entity
Predicate hasMajorTown P316 FINISHED
Object Christiana
Christiana is a prominent inland town in central Jamaica known as a commercial and agricultural hub within the parish of Manchester.
E897204 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: Christiana | Statement: [Manchester Parish, hasMajorTown, Christiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christiana
Context triple: [Manchester Parish, hasMajorTown, Christiana]
  • A. Christiana
    Christiana is a personal name used as a given name, notably borne by individuals such as Christiana Wyly.
  • B. Bernardine
    Bernardine is a 1957 musical comedy film starring Pat Boone in one of his early leading screen roles.
  • C. Bridgitt
    Bridgitt is a given name that functions as an alternative spelling of the name Bridgette.
  • D. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • E. Charlotta
    Charlotta is a feminine given name, commonly used in various European countries as a form of Charlotte.
  • 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: Christiana
Triple: [Manchester Parish, hasMajorTown, Christiana]
Generated description
Christiana is a prominent inland town in central Jamaica known as a commercial and agricultural hub within the parish of Manchester.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Christiana
Target entity description: Christiana is a prominent inland town in central Jamaica known as a commercial and agricultural hub within the parish of Manchester.
  • A. Christiana
    Christiana is a personal name used as a given name, notably borne by individuals such as Christiana Wyly.
  • B. Bernardine
    Bernardine is a 1957 musical comedy film starring Pat Boone in one of his early leading screen roles.
  • C. Bridgitt
    Bridgitt is a given name that functions as an alternative spelling of the name Bridgette.
  • D. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • E. Charlotta
    Charlotta is a feminine given name, commonly used in various European countries as a form of Charlotte.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77127b10481908ad1efafb2a338d1 completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d751e8e081908f31ab2d82105c3c completed April 18, 2026, 12:58 a.m.
NEDg Description generation batch_69e2ff1ffb8c8190ba97f3c2e3c8c601 completed April 18, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69e3261cc4f48190ba0e5645f37cd4b5 completed April 18, 2026, 6:35 a.m.
Created at: April 8, 2026, 9:23 p.m.