Triple

T6217873
Position Surface form Disambiguated ID Type / Status
Subject Western Region E139034 entity
Predicate containsCity P294 FINISHED
Object Shama
Shama is a coastal town in Ghana known historically as a fishing community and trading post along the Gulf of Guinea.
 E577145 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: Shama | Statement: [Western Region, containsCity, Shama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shama
Context triple: [Western Region, containsCity, Shama]
  • A. Shamiya
    Shamiya is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
  • B. Waras
    Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
  • C. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • D. Saru
    Saru is a Kelpien Starfleet officer in Star Trek: Discovery, known for his cautious nature, strong moral compass, and eventual rise to command.
  • E. Shatili
    Shatili is a historic highland village in northeastern Georgia, renowned for its medieval stone towers and fortress-like architecture nestled in the remote Khevsureti region of the Caucasus Mountains.
  • 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: Shama
Triple: [Western Region, containsCity, Shama]
Generated description
Shama is a coastal town in Ghana known historically as a fishing community and trading post along the Gulf of Guinea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shama
Target entity description: Shama is a coastal town in Ghana known historically as a fishing community and trading post along the Gulf of Guinea.
  • A. Shamiya
    Shamiya is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
  • B. Waras
    Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
  • C. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • D. Saru
    Saru is a Kelpien Starfleet officer in Star Trek: Discovery, known for his cautious nature, strong moral compass, and eventual rise to command.
  • E. Shatili
    Shatili is a historic highland village in northeastern Georgia, renowned for its medieval stone towers and fortress-like architecture nestled in the remote Khevsureti region of the Caucasus Mountains.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062a35e308190be25c41b02704411 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20db4e0ac8190ba7bca1f9d8ac6df completed March 24, 2026, 4:06 a.m.
NEDg Description generation batch_69c20ff2bb188190baf8a849efc15f87 completed March 24, 2026, 4:15 a.m.
NED2 Entity disambiguation (via description) batch_69c21365f8f48190970555bd9593b5a4 completed March 24, 2026, 4:30 a.m.
Created at: March 22, 2026, 4:21 p.m.