Triple

T33665434
Position Surface form Disambiguated ID Type / Status
Subject RIPTA express buses E862476 entity
Predicate partOf P40 FINISHED
Object RIPTA fixed-route bus network
The RIPTA fixed-route bus network is the statewide public transit system in Rhode Island that operates scheduled local and express bus services across major cities and communities.
 E2062061 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: RIPTA fixed-route bus network | Statement: [RIPTA express buses, partOf, RIPTA fixed-route 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: RIPTA fixed-route bus network
Triple: [RIPTA express buses, partOf, RIPTA fixed-route bus network]
Generated description
The RIPTA fixed-route bus network is the statewide public transit system in Rhode Island that operates scheduled local and express bus services across major cities and communities.

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_69f34984c4008190bb82f33a7819da64 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f9fcd4708190ac9f1ef6a7b79fb8 completed May 3, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a362729eb2c81908a3a3346c362a900 completed June 20, 2026, 5:37 a.m.
NEDg Description generation batch_6a36283aac9c8190836bddb4a59bb063 completed June 20, 2026, 5:42 a.m.
NED2 Entity disambiguation (via description) batch_6a3628bf12288190808c280d3796f1aa completed June 20, 2026, 5:44 a.m.
Created at: May 1, 2026, 1:42 a.m.