Triple

T3057826
Position Surface form Disambiguated ID Type / Status
Subject Awori E60522 entity
Predicate urbanCentersHistoricallyAssociated P16345 FINISHED
Object Ota
Ota is a historically significant Awori town in southwestern Nigeria that has grown into a major industrial and educational hub.
 E323849 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: Ota | Statement: [Awori, urbanCentersHistoricallyAssociated, Ota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ota
Context triple: [Awori, urbanCentersHistoricallyAssociated, Ota]
  • A. Ōta
    Ōta is a special ward in southern Tokyo, Japan, known for Haneda Airport and its mix of residential, industrial, and coastal areas.
  • B. Osan
    Osan is a city in Gyeonggi Province, South Korea, known for its proximity to Osan Air Base and its role as a regional transportation and commercial hub.
  • C. Somero
    Somero is a small town and municipality in southwestern Finland known for its rural landscapes and agricultural heritage.
  • D. Kutaisi
    Kutaisi is one of Georgia’s major cities, historically significant and formerly a capital, located in the western part of the country.
  • E. Kasoa
    Kasoa is a rapidly growing urban town in southern Ghana that serves as a major residential and commercial hub on the outskirts of Accra.
  • 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: Ota
Triple: [Awori, urbanCentersHistoricallyAssociated, Ota]
Generated description
Ota is a historically significant Awori town in southwestern Nigeria that has grown into a major industrial and educational hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ota
Target entity description: Ota is a historically significant Awori town in southwestern Nigeria that has grown into a major industrial and educational hub.
  • A. Ōta
    Ōta is a special ward in southern Tokyo, Japan, known for Haneda Airport and its mix of residential, industrial, and coastal areas.
  • B. Osan
    Osan is a city in Gyeonggi Province, South Korea, known for its proximity to Osan Air Base and its role as a regional transportation and commercial hub.
  • C. Somero
    Somero is a small town and municipality in southwestern Finland known for its rural landscapes and agricultural heritage.
  • D. Kutaisi
    Kutaisi is one of Georgia’s major cities, historically significant and formerly a capital, located in the western part of the country.
  • E. Kasoa
    Kasoa is a rapidly growing urban town in southern Ghana that serves as a major residential and commercial hub on the outskirts of Accra.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9e162d148190969fb422a45d052c completed March 8, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef0903cc81909a073fe78dbf0b14 completed March 11, 2026, 10:39 p.m.
NEDg Description generation batch_69b1efb655688190a70e23325d734601 completed March 11, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69b1f080d57c819089fed4e128e39440 completed March 11, 2026, 10:45 p.m.
Created at: March 8, 2026, 3:02 p.m.