Triple

T1813172
Position Surface form Disambiguated ID Type / Status
Subject Mali E40373 entity
Predicate containsCity P294 FINISHED
Object Koutiala
Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
 E204522 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: Koutiala | Statement: [Mali, containsCity, Koutiala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Koutiala
Context triple: [Mali, containsCity, Koutiala]
  • A. Katchal
    Katchal is a dialect of the Nicobarese language spoken by the indigenous community on Katchal Island in India’s Nicobar Islands.
  • B. Negombo
    Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
  • C. Kharimkotan
    Kharimkotan is an uninhabited volcanic island in the central Kuril Islands chain of Russia, known for its large stratovolcano and history of explosive eruptions.
  • D. Kumba
    Kumba is a renowned steel roller coaster at Busch Gardens Tampa Bay, famous for its intense inversions and smooth, high-speed layout.
  • E. Temeswar
    Temeswar (Timișoara) is a major city in western Romania known for its multicultural heritage and role in the 1989 Romanian Revolution.
  • 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: Koutiala
Triple: [Mali, containsCity, Koutiala]
Generated description
Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Koutiala
Target entity description: Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
  • A. Katchal
    Katchal is a dialect of the Nicobarese language spoken by the indigenous community on Katchal Island in India’s Nicobar Islands.
  • B. Negombo
    Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
  • C. Kharimkotan
    Kharimkotan is an uninhabited volcanic island in the central Kuril Islands chain of Russia, known for its large stratovolcano and history of explosive eruptions.
  • D. Kumba
    Kumba is a renowned steel roller coaster at Busch Gardens Tampa Bay, famous for its intense inversions and smooth, high-speed layout.
  • E. Temeswar
    Temeswar (Timișoara) is a major city in western Romania known for its multicultural heritage and role in the 1989 Romanian Revolution.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65c775408190b4f5912786720e28 completed March 6, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf5b1dbc8190a57430bf129173e4 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc0a3fdd88190b0ffa98db1b5cf80 completed March 8, 2026, 6:32 p.m.
NED2 Entity disambiguation (via description) batch_69adc1304a808190a999e71dfa39162a completed March 8, 2026, 6:34 p.m.
Created at: March 4, 2026, 7:32 p.m.