Triple

T32349905
Position Surface form Disambiguated ID Type / Status
Subject H2000 E826565 entity
Predicate hasJunction P1018 FINISHED
Object Spanish Town interchange
The Spanish Town interchange is a major highway junction in Jamaica that connects key routes serving the historic town of Spanish Town and the wider Kingston metropolitan area.
 E2004729 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: Spanish Town interchange | Statement: [H2000, hasJunction, Spanish Town interchange]
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: Spanish Town interchange
Triple: [H2000, hasJunction, Spanish Town interchange]
Generated description
The Spanish Town interchange is a major highway junction in Jamaica that connects key routes serving the historic town of Spanish Town and the wider Kingston metropolitan area.

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_69f34914dfc48190a390cd0720d9e86f completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6be56d7908190a730ed6da60acffd completed May 3, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a33e89f3db08190a357466a6d0604e2 completed June 18, 2026, 12:46 p.m.
NEDg Description generation batch_6a33e9b614d48190b62b2be745f8e17b completed June 18, 2026, 12:51 p.m.
NED2 Entity disambiguation (via description) batch_6a3448e2de8881908222afaa8aeeafed completed June 18, 2026, 7:37 p.m.
Created at: May 1, 2026, 12:49 a.m.