Triple

T6202719
Position Surface form Disambiguated ID Type / Status
Subject Gaza Province E138673 entity
Predicate hasCity P316 FINISHED
Object Chókwè
Chókwè is a town and important agricultural center in southern Mozambique, known for its irrigated farmlands and role in regional rice and vegetable production.
 E576354 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: Chókwè | Statement: [Gaza Province, hasCity, Chókwè]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chókwè
Context triple: [Gaza Province, hasCity, Chókwè]
  • A. Chikanga
    Chikanga is a high-density residential suburb of Mutare, a major city in eastern Zimbabwe.
  • B. Chamiti
    Chamiti is the summit that forms the highest peak of Mount Vermio in northern Greece.
  • C. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • D. Chambo
    Chambo is a small town in central Ecuador known for its agricultural activities and proximity to the Andean highlands.
  • E. Chindau
    Chindau is a Bantu language spoken primarily by the Ndau people in parts of Mozambique and Zimbabwe.
  • 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: Chókwè
Triple: [Gaza Province, hasCity, Chókwè]
Generated description
Chókwè is a town and important agricultural center in southern Mozambique, known for its irrigated farmlands and role in regional rice and vegetable production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chókwè
Target entity description: Chókwè is a town and important agricultural center in southern Mozambique, known for its irrigated farmlands and role in regional rice and vegetable production.
  • A. Chikanga
    Chikanga is a high-density residential suburb of Mutare, a major city in eastern Zimbabwe.
  • B. Chamiti
    Chamiti is the summit that forms the highest peak of Mount Vermio in northern Greece.
  • C. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • D. Chambo
    Chambo is a small town in central Ecuador known for its agricultural activities and proximity to the Andean highlands.
  • E. Chindau
    Chindau is a Bantu language spoken primarily by the Ndau people in parts of Mozambique and Zimbabwe.
  • 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0626a32908190a3332008aee2e4a9 completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f3bad2c8190b0ad0f2def3af9f7 completed March 23, 2026, 4:50 p.m.
NEDg Description generation batch_69c1be41b0c881909aff05430b23dc71 completed March 23, 2026, 10:27 p.m.
NED2 Entity disambiguation (via description) batch_69c1bf50f6b881909e23e95d6ff0fd4d completed March 23, 2026, 10:31 p.m.
Created at: March 22, 2026, 4:20 p.m.