Triple

T24170707
Position Surface form Disambiguated ID Type / Status
Subject Western Parishes of Bermuda E599120 entity
Predicate hasTransportLink P1298 FINISHED
Object Bermuda public bus network
The Bermuda public bus network is the island’s primary system of scheduled public transportation, connecting all major towns, parishes, and attractions across Bermuda.
 E1621363 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: Bermuda public bus network | Statement: [Western Parishes of Bermuda, hasTransportLink, Bermuda public bus network]
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: Bermuda public bus network
Triple: [Western Parishes of Bermuda, hasTransportLink, Bermuda public bus network]
Generated description
The Bermuda public bus network is the island’s primary system of scheduled public transportation, connecting all major towns, parishes, and attractions across Bermuda.

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_69e288cbd62881909de32ca64a70c17b completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e17a3aac8190957a18dc80924204 completed April 29, 2026, 10:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fad3d3388819096787b8f9abf2ef9 completed May 22, 2026, 1:11 a.m.
NEDg Description generation batch_6a0fae2d71448190b191a4877c698840 completed May 22, 2026, 1:15 a.m.
NED2 Entity disambiguation (via description) batch_6a0faf073c088190bbf21e4dd0434fc1 completed May 22, 2026, 1:19 a.m.
Created at: April 17, 2026, 11:33 p.m.