Triple

T3303420
Position Surface form Disambiguated ID Type / Status
Subject Nadi International Airport E69389 entity
Predicate nearbyCity P350 FINISHED
Object Lautoka
Lautoka is Fiji's second-largest city, located on the western coast of Viti Levu and known as a major port and center of the country's sugar industry.
 E347662 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: Lautoka | Statement: [Nadi International Airport, nearbyCity, Lautoka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lautoka
Context triple: [Nadi International Airport, nearbyCity, Lautoka]
  • A. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • B. Lisnaskea
    Lisnaskea is a small market town in County Fermanagh, Northern Ireland, known for serving as a local commercial and community hub for the surrounding rural area.
  • C. Laus
    Laus was an ancient Greek colony in southern Italy, founded by settlers from the wealthy city of Sybaris.
  • D. Taalunie
    Taalunie is an international institution that coordinates and promotes the Dutch language and literature across Dutch-speaking regions.
  • E. Kauhava
    Kauhava is a town in western Finland known historically for its aviation activities and air base, as well as its traditional knife-making heritage.
  • 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: Lautoka
Triple: [Nadi International Airport, nearbyCity, Lautoka]
Generated description
Lautoka is Fiji's second-largest city, located on the western coast of Viti Levu and known as a major port and center of the country's sugar industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lautoka
Target entity description: Lautoka is Fiji's second-largest city, located on the western coast of Viti Levu and known as a major port and center of the country's sugar industry.
  • A. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • B. Lisnaskea
    Lisnaskea is a small market town in County Fermanagh, Northern Ireland, known for serving as a local commercial and community hub for the surrounding rural area.
  • C. Laus
    Laus was an ancient Greek colony in southern Italy, founded by settlers from the wealthy city of Sybaris.
  • D. Taalunie
    Taalunie is an international institution that coordinates and promotes the Dutch language and literature across Dutch-speaking regions.
  • E. Kauhava
    Kauhava is a town in western Finland known historically for its aviation activities and air base, as well as its traditional knife-making heritage.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0c662308190aad8b2a93e1c8a5c completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3e383088190a056ca793ebf4ffe completed March 12, 2026, 5:12 p.m.
NEDg Description generation batch_69b2f9fb060881909dd940c69cf4a12e completed March 12, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69b3137bf988819080cef6c1946ec622 completed March 12, 2026, 7:26 p.m.
Created at: March 8, 2026, 3:11 p.m.