Triple

T26526348
Position Surface form Disambiguated ID Type / Status
Subject Arouca, Trinidad and Tobago E670697 entity
Predicate hasTransportation P105 FINISHED
Object Priority Bus Route
The Priority Bus Route is a dedicated transit corridor in Trinidad and Tobago reserved primarily for buses and authorized vehicles to facilitate faster, less congested travel across the island’s urban areas.
 E1730135 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: Priority Bus Route | Statement: [Arouca, Trinidad and Tobago, hasTransportation, Priority Bus Route]
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: Priority Bus Route
Triple: [Arouca, Trinidad and Tobago, hasTransportation, Priority Bus Route]
Generated description
The Priority Bus Route is a dedicated transit corridor in Trinidad and Tobago reserved primarily for buses and authorized vehicles to facilitate faster, less congested travel across the island’s urban areas.

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_69eeb31ea1e08190b9ff43cf9bc25bf8 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f613c628008190b4676558dcf17d65 completed May 2, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11bb4994d4819089e16ef63f9288e3 completed May 23, 2026, 2:35 p.m.
NEDg Description generation batch_6a11be62602081909cac24dd194530b4 completed May 23, 2026, 2:49 p.m.
NED2 Entity disambiguation (via description) batch_6a11bee7bd508190a8d6a18cf0a238a1 completed May 23, 2026, 2:51 p.m.
Created at: April 27, 2026, 1:32 a.m.