Triple

T2887191
Position Surface form Disambiguated ID Type / Status
Subject Cross River State E59533 entity
Predicate hasMajorLanguage P207 FINISHED
Object Yala
Yala is a language spoken by the Yala people of Cross River State in southeastern Nigeria.
E306887 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: Yala | Statement: [Cross River State, hasMajorLanguage, Yala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yala
Context triple: [Cross River State, hasMajorLanguage, Yala]
  • A. Yala
    Yala is a major city in Thailand’s deep south, known as an administrative, commercial, and cultural center near the Malaysian border.
  • B. Gela Sule
    Gela Sule is a variant name for Nggela Sule, a locality associated with the Nggela (Florida) Islands in the Solomon Islands.
  • C. Tantu
    Tantu is a Kannada novel by acclaimed Indian writer S. L. Bhyrappa, known for its exploration of complex social and philosophical themes.
  • D. Tarhuna
    Tarhuna is a town in northwestern Libya, southeast of Tripoli, known for its strategic role and tribal influence during the Libyan civil conflicts.
  • E. Al Bayda
    Al Bayda is a city in northeastern Libya that serves as one of the main urban centers of the Cyrenaica region.
  • 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: Yala
Triple: [Cross River State, hasMajorLanguage, Yala]
Generated description
Yala is a language spoken by the Yala people of Cross River State in southeastern Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yala
Target entity description: Yala is a language spoken by the Yala people of Cross River State in southeastern Nigeria.
  • A. Yala
    Yala is a major city in Thailand’s deep south, known as an administrative, commercial, and cultural center near the Malaysian border.
  • B. Gela Sule
    Gela Sule is a variant name for Nggela Sule, a locality associated with the Nggela (Florida) Islands in the Solomon Islands.
  • C. Tantu
    Tantu is a Kannada novel by acclaimed Indian writer S. L. Bhyrappa, known for its exploration of complex social and philosophical themes.
  • D. Tarhuna
    Tarhuna is a town in northwestern Libya, southeast of Tripoli, known for its strategic role and tribal influence during the Libyan civil conflicts.
  • E. Al Bayda
    Al Bayda is a city in northeastern Libya that serves as one of the main urban centers of the Cyrenaica region.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe047aa7c8190a0ed570c13f3a1a2 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b031713e14819098db4cfaaea74f73 completed March 10, 2026, 2:57 p.m.
NEDg Description generation batch_69b0332021048190a846847e17ccf6f2 completed March 10, 2026, 3:05 p.m.
NED2 Entity disambiguation (via description) batch_69b0340e559081909e06d5383eca3019 completed March 10, 2026, 3:09 p.m.
Created at: March 6, 2026, 10:03 p.m.