Triple

T3293351
Position Surface form Disambiguated ID Type / Status
Subject Yobe State E69151 entity
Predicate hasLocalGovernmentArea P8215 FINISHED
Object Jakusko
Jakusko is a local government area in northeastern Nigeria known for its rural communities and location within Yobe State.
 E345319 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: Jakusko | Statement: [Yobe State, hasLocalGovernmentArea, Jakusko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jakusko
Context triple: [Yobe State, hasLocalGovernmentArea, Jakusko]
  • A. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • B. Koshice
    Košice is the second-largest city in Slovakia, known for its well-preserved medieval old town and status as an important cultural and economic center in the country.
  • C. Zawoja
    Zawoja is a large village in southern Poland, known as a popular tourist and hiking base at the foot of Babia Góra in the Beskid Mountains.
  • D. Zátopek
    Zátopek is a Czech surname most famously associated with Emil Zátopek, the legendary long-distance runner and four-time Olympic gold medalist.
  • E. Polyanka
    Polyanka is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line, located near the city center and serving the surrounding Polyanka Street area.
  • 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: Jakusko
Triple: [Yobe State, hasLocalGovernmentArea, Jakusko]
Generated description
Jakusko is a local government area in northeastern Nigeria known for its rural communities and location within Yobe State.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jakusko
Target entity description: Jakusko is a local government area in northeastern Nigeria known for its rural communities and location within Yobe State.
  • A. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • B. Koshice
    Košice is the second-largest city in Slovakia, known for its well-preserved medieval old town and status as an important cultural and economic center in the country.
  • C. Zawoja
    Zawoja is a large village in southern Poland, known as a popular tourist and hiking base at the foot of Babia Góra in the Beskid Mountains.
  • D. Zátopek
    Zátopek is a Czech surname most famously associated with Emil Zátopek, the legendary long-distance runner and four-time Olympic gold medalist.
  • E. Polyanka
    Polyanka is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line, located near the city center and serving the surrounding Polyanka Street area.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb074f35081909dd3c8a09544b5f1 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e86895988190a7acaa5948b50bcd completed March 12, 2026, 4:23 p.m.
NEDg Description generation batch_69b2ec48bf888190a5eeac0aa2cc50c3 completed March 12, 2026, 4:39 p.m.
NED2 Entity disambiguation (via description) batch_69b2ecd134e88190933e52d7f1f5be2a completed March 12, 2026, 4:41 p.m.
Created at: March 8, 2026, 3:10 p.m.