Triple

T9621505
Position Surface form Disambiguated ID Type / Status
Subject Sari (place name) E232350 entity
Predicate refersTo P37 FINISHED
Object Sari, Ghana
Sari, Ghana is a small settlement in Ghana, likely a rural community whose detailed demographic and geographic information is not widely documented.
E809749 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: Sari, Ghana | Statement: [Sari (place name), refersTo, Sari, Ghana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sari, Ghana
Context triple: [Sari (place name), refersTo, Sari, Ghana]
  • A. Anyako, Ghana
    Anyako, Ghana is a small coastal town in the Volta Region known as the hometown of internationally acclaimed sculptor El Anatsui.
  • B. Kaneshie
    Kaneshie is a bustling suburb of Accra, Ghana, known for its major transport hub and vibrant commercial activity.
  • C. Weija
    Weija is a suburban community in the Greater Accra Region of Ghana, known for the Weija Dam and its role in supplying water to Accra and surrounding areas.
  • D. Kpeshie
    Kpeshie is a traditional festival celebrated in the coastal Ghanaian town of Teshie, known for its rich Ga cultural rituals and communal festivities.
  • E. Winneba, Ghana
    Winneba, Ghana is a coastal town in the Central Region of Ghana known for its fishing industry, Aboakyer festival, and the University of Education, Winneba.
  • 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: Sari, Ghana
Triple: [Sari (place name), refersTo, Sari, Ghana]
Generated description
Sari, Ghana is a small settlement in Ghana, likely a rural community whose detailed demographic and geographic information is not widely documented.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sari, Ghana
Target entity description: Sari, Ghana is a small settlement in Ghana, likely a rural community whose detailed demographic and geographic information is not widely documented.
  • A. Anyako, Ghana
    Anyako, Ghana is a small coastal town in the Volta Region known as the hometown of internationally acclaimed sculptor El Anatsui.
  • B. Kaneshie
    Kaneshie is a bustling suburb of Accra, Ghana, known for its major transport hub and vibrant commercial activity.
  • C. Weija
    Weija is a suburban community in the Greater Accra Region of Ghana, known for the Weija Dam and its role in supplying water to Accra and surrounding areas.
  • D. Kpeshie
    Kpeshie is a traditional festival celebrated in the coastal Ghanaian town of Teshie, known for its rich Ga cultural rituals and communal festivities.
  • E. Winneba, Ghana
    Winneba, Ghana is a coastal town in the Central Region of Ghana known for its fishing industry, Aboakyer festival, and the University of Education, Winneba.
  • 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_69ca84867bb88190b4b57dd5a56d5691 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ad505588190b8c81ce09f1904ec completed April 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1797386d88190bc1d9309ecc1b4fb completed April 4, 2026, 8:49 p.m.
NEDg Description generation batch_69d17a0d603881908066d61fff1d2fda completed April 4, 2026, 8:52 p.m.
NED2 Entity disambiguation (via description) batch_69d17a769b608190b49ad82b35cf1b44 completed April 4, 2026, 8:54 p.m.
Created at: March 30, 2026, 8:10 p.m.