Triple

T3293350
Position Surface form Disambiguated ID Type / Status
Subject Yobe State E69151 entity
Predicate hasLocalGovernmentArea P8215 FINISHED
Object Gulani
Gulani is a local government area in northeastern Nigeria known for its rural communities within Yobe State.
E345318 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: Gulani | Statement: [Yobe State, hasLocalGovernmentArea, Gulani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gulani
Context triple: [Yobe State, hasLocalGovernmentArea, Gulani]
  • A. Kaghan
    Kaghan is a scenic valley in Pakistan’s Khyber Pakhtunkhwa province, renowned for its lush landscapes, rivers, and popular tourist resorts.
  • B. Thakur
    Thakur is a traditional Indian feudal and honorific title historically used by landowning nobility and warrior elites, particularly among Rajput communities.
  • C. Shalin
    Shalin is a Malaysian ten-pin bowler renowned for her numerous international titles and status as one of Asia’s most successful female bowlers.
  • D. Gobind
    Gobind is the given name of Guru Gobind Singh, the tenth Sikh Guru and a central figure in Sikh history.
  • E. Zora Singh
    Zora Singh is an individual whose given name is Zora, though no widely known public figure by this exact name can be clearly identified from the provided information.
  • 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: Gulani
Triple: [Yobe State, hasLocalGovernmentArea, Gulani]
Generated description
Gulani is a local government area in northeastern Nigeria known for its rural communities within Yobe State.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gulani
Target entity description: Gulani is a local government area in northeastern Nigeria known for its rural communities within Yobe State.
  • A. Kaghan
    Kaghan is a scenic valley in Pakistan’s Khyber Pakhtunkhwa province, renowned for its lush landscapes, rivers, and popular tourist resorts.
  • B. Thakur
    Thakur is a traditional Indian feudal and honorific title historically used by landowning nobility and warrior elites, particularly among Rajput communities.
  • C. Shalin
    Shalin is a Malaysian ten-pin bowler renowned for her numerous international titles and status as one of Asia’s most successful female bowlers.
  • D. Gobind
    Gobind is the given name of Guru Gobind Singh, the tenth Sikh Guru and a central figure in Sikh history.
  • E. Zora Singh
    Zora Singh is an individual whose given name is Zora, though no widely known public figure by this exact name can be clearly identified from the provided information.
  • 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.