Triple

T2694167
Position Surface form Disambiguated ID Type / Status
Subject Rivers State E58472 entity
Predicate majorCity P316 FINISHED
Object Bonny
Bonny is a historic coastal town and important oil and gas hub located on Bonny Island in Nigeria’s Rivers State.
 E291344 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: Bonny | Statement: [Rivers State, majorCity, Bonny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bonny
Context triple: [Rivers State, majorCity, Bonny]
  • A. Betsy
    Betsy is a key female character in the 1976 film "Taxi Driver," known as the idealistic campaign worker who becomes the object of Travis Bickle’s fixation.
  • B. Betsy
    Betsy is a common diminutive or nickname for the given name Elizabeth.
  • C. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • D. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • E. Marylou
    Marylou is a free-spirited, impulsive young woman who embodies the restless, hedonistic energy of the Beat Generation in Jack Kerouac’s novel "On the Road."
  • 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: Bonny
Triple: [Rivers State, majorCity, Bonny]
Generated description
Bonny is a historic coastal town and important oil and gas hub located on Bonny Island in Nigeria’s Rivers State.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bonny
Target entity description: Bonny is a historic coastal town and important oil and gas hub located on Bonny Island in Nigeria’s Rivers State.
  • A. Betsy
    Betsy is a key female character in the 1976 film "Taxi Driver," known as the idealistic campaign worker who becomes the object of Travis Bickle’s fixation.
  • B. Betsy
    Betsy is a common diminutive or nickname for the given name Elizabeth.
  • C. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • D. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • E. Marylou
    Marylou is a free-spirited, impulsive young woman who embodies the restless, hedonistic energy of the Beat Generation in Jack Kerouac’s novel "On the Road."
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda10a9bc81908473d02ab9116cef completed March 7, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf6804b48190ac0bfe464da93025 completed March 10, 2026, 5:43 a.m.
NEDg Description generation batch_69afb045e304819080efecf2738453e6 completed March 10, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69afb0ab2a8081909e729f883a7438d7 completed March 10, 2026, 5:48 a.m.
Created at: March 6, 2026, 9:55 p.m.