Triple

T1813169
Position Surface form Disambiguated ID Type / Status
Subject Mali E40373 entity
Predicate containsCity P294 FINISHED
Object Kayes
Kayes is a city in western Mali known as an important regional transport hub and commercial center near the Senegal River.
 E201167 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: Kayes | Statement: [Mali, containsCity, Kayes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kayes
Context triple: [Mali, containsCity, Kayes]
  • A. Mossman
    Mossman is a small town in Far North Queensland, Australia, known as a gateway to the Daintree Rainforest and the nearby Mossman Gorge.
  • B. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • C. Madoc
    Madoc is an epic poem by Robert Southey that narrates the legendary voyages and adventures of the Welsh prince Madoc in the New World.
  • D. Kueyen
    Kueyen is one of the four 8.2-meter Unit Telescopes of the Very Large Telescope array operated by the European Southern Observatory on Cerro Paranal in Chile.
  • E. Ranyah
    Ranyah is a town and governorate in western Saudi Arabia known for its desert landscape and agricultural activities, particularly date farming.
  • 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: Kayes
Triple: [Mali, containsCity, Kayes]
Generated description
Kayes is a city in western Mali known as an important regional transport hub and commercial center near the Senegal River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kayes
Target entity description: Kayes is a city in western Mali known as an important regional transport hub and commercial center near the Senegal River.
  • A. Mossman
    Mossman is a small town in Far North Queensland, Australia, known as a gateway to the Daintree Rainforest and the nearby Mossman Gorge.
  • B. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • C. Madoc
    Madoc is an epic poem by Robert Southey that narrates the legendary voyages and adventures of the Welsh prince Madoc in the New World.
  • D. Kueyen
    Kueyen is one of the four 8.2-meter Unit Telescopes of the Very Large Telescope array operated by the European Southern Observatory on Cerro Paranal in Chile.
  • E. Ranyah
    Ranyah is a town and governorate in western Saudi Arabia known for its desert landscape and agricultural activities, particularly date farming.
  • 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_69adb5e5142c8190bc90da38b02e95e2 completed March 8, 2026, 5:46 p.m.
NEDg Description generation batch_69adb69db13081909d0b6841fe16f50c completed March 8, 2026, 5:49 p.m.
NED2 Entity disambiguation (via description) batch_69adb8c248b48190bbd2ba018fadfa84 completed March 8, 2026, 5:58 p.m.
Created at: March 4, 2026, 7:32 p.m.