Triple

T14069687
Position Surface form Disambiguated ID Type / Status
Subject Bloemhof Dam E338571 entity
Predicate hasNearbyTown P3883 FINISHED
Object Christiana
Christiana is a small agricultural and diamond-mining town in South Africa’s North West province, situated along the Vaal River.
E1078069 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: [Bloemhof Dam, hasNearbyTown, Christiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christiana
Context triple: [Bloemhof Dam, hasNearbyTown, Christiana]
  • A. Christiana
    Christiana is a personal name used as a given name, notably borne by individuals such as Christiana Wyly.
  • B. Christiana
    Christiana is a prominent inland town in central Jamaica known as a commercial and agricultural hub within the parish of Manchester.
  • C. Bernardine
    Bernardine is a 1957 musical comedy film starring Pat Boone in one of his early leading screen roles.
  • D. Bridgitt
    Bridgitt is a given name that functions as an alternative spelling of the name Bridgette.
  • E. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • 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: [Bloemhof Dam, hasNearbyTown, Christiana]
Generated description
Christiana is a small agricultural and diamond-mining town in South Africa’s North West province, situated along the Vaal River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Christiana
Target entity description: Christiana is a small agricultural and diamond-mining town in South Africa’s North West province, situated along the Vaal River.
  • A. Christiana
    Christiana is a personal name used as a given name, notably borne by individuals such as Christiana Wyly.
  • B. Christiana
    Christiana is a prominent inland town in central Jamaica known as a commercial and agricultural hub within the parish of Manchester.
  • C. Bernardine
    Bernardine is a 1957 musical comedy film starring Pat Boone in one of his early leading screen roles.
  • D. Bridgitt
    Bridgitt is a given name that functions as an alternative spelling of the name Bridgette.
  • E. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de568d0404819087e0fe37c72162cb completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb66cfe2c8190af8354316d4f4df9 completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcc5c893dc81908538136e0f9170ca completed May 7, 2026, 5:03 p.m.
NED2 Entity disambiguation (via description) batch_69fcc64ac93c8190ad40a04c74f70e18 completed May 7, 2026, 5:05 p.m.
Created at: April 9, 2026, 10:21 p.m.