Triple

T36563138
Position Surface form Disambiguated ID Type / Status
Subject Second Street (Trench Town) E901896 entity
Predicate partOf P40 FINISHED
Object City of Kingston
The City of Kingston is the capital and largest city of Jamaica, known as the island’s cultural, political, and economic center and the birthplace of reggae music.
E2188679 NE FINISHED

How this triple was built (2 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: City of Kingston | Statement: [Second Street (Trench Town), partOf, City of Kingston]
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: City of Kingston
Triple: [Second Street (Trench Town), partOf, City of Kingston]
Generated description
The City of Kingston is the capital and largest city of Jamaica, known as the island’s cultural, political, and economic center and the birthplace of reggae music.

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_69f76e634e9481908c9ba1b87ab87c26 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c27d4f5c8190ab080be352c846f3 completed May 3, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39e6f656f481908ba8357ffb65102e completed June 23, 2026, 1:52 a.m.
NEDg Description generation batch_6a39e7943be881909c7ed1ce33ad96d8 completed June 23, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_6a39ea9c403c8190a44d9289b4fee998 completed June 23, 2026, 2:08 a.m.
Created at: May 3, 2026, 4:11 p.m.