Triple

T15786290
Position Surface form Disambiguated ID Type / Status
Subject Koobi Fora E382745 entity
Predicate nearbySettlement P350 FINISHED
Object Kalokol
Kalokol is a small settlement in northwestern Kenya, situated near the shores of Lake Turkana and serving as a local hub for fishing and transport in the region.
 E1176142 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: Kalokol | Statement: [Koobi Fora, nearbySettlement, Kalokol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kalokol
Context triple: [Koobi Fora, nearbySettlement, Kalokol]
  • A. Kalaiya
    Kalaiya is a city in southern Nepal that serves as an important local administrative and commercial center within Madhesh Province.
  • B. Kalokairi
    Kalokairi is a fictional Greek island best known as the main setting of the musical and film "Mamma Mia!".
  • C. Klakah
    Klakah is a town in East Java, Indonesia, situated close to Mount Lamongan and known for its surrounding volcanic lakes and agricultural landscape.
  • D. Kalaong
    Kalaong is a barangay (village-level administrative division) of the municipality of Maitum in the province of Sarangani, Philippines.
  • E. Kory-Kory
    Kory-Kory is a native islander and devoted attendant who guides and cares for the narrator in Herman Melville’s novel "Typee."
  • 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: Kalokol
Triple: [Koobi Fora, nearbySettlement, Kalokol]
Generated description
Kalokol is a small settlement in northwestern Kenya, situated near the shores of Lake Turkana and serving as a local hub for fishing and transport in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kalokol
Target entity description: Kalokol is a small settlement in northwestern Kenya, situated near the shores of Lake Turkana and serving as a local hub for fishing and transport in the region.
  • A. Kalaiya
    Kalaiya is a city in southern Nepal that serves as an important local administrative and commercial center within Madhesh Province.
  • B. Kalokairi
    Kalokairi is a fictional Greek island best known as the main setting of the musical and film "Mamma Mia!".
  • C. Klakah
    Klakah is a town in East Java, Indonesia, situated close to Mount Lamongan and known for its surrounding volcanic lakes and agricultural landscape.
  • D. Kalaong
    Kalaong is a barangay (village-level administrative division) of the municipality of Maitum in the province of Sarangani, Philippines.
  • E. Kory-Kory
    Kory-Kory is a native islander and devoted attendant who guides and cares for the narrator in Herman Melville’s novel "Typee."
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0540380448190a025338f0e62e6d1 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90a6365c8190833431cf079b21fb completed May 9, 2026, 7:53 p.m.
NEDg Description generation batch_69ff916638048190ad4a6c85da9cef9d completed May 9, 2026, 7:56 p.m.
NED2 Entity disambiguation (via description) batch_69ff91cf6f7c81908361f85c9a98ae80 completed May 9, 2026, 7:58 p.m.
Created at: April 10, 2026, 4:48 a.m.