Triple

T28366038
Position Surface form Disambiguated ID Type / Status
Subject MBTA bus route CT3 E718489 entity
Predicate isPartOf P10 FINISHED
Object MBTA crosstown bus services
MBTA crosstown bus services are a set of limited-stop bus routes in the Boston area designed to provide faster, more direct connections between major neighborhoods and transit hubs without requiring travel through downtown.
 E1808 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: MBTA crosstown bus services | Statement: [MBTA bus route CT3, isPartOf, MBTA crosstown bus services]
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: MBTA crosstown bus services
Triple: [MBTA bus route CT3, isPartOf, MBTA crosstown bus services]
Generated description
MBTA crosstown bus services are a set of limited-stop bus routes in the Boston area designed to provide faster, more direct connections between major neighborhoods and transit hubs without requiring travel through downtown.

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_69eff6ed5af48190be4e0adf298223e0 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f64c5645d48190b0c3a2bad5a2e539 completed May 2, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1632fc7cd8819092b74d1798e87079 completed May 26, 2026, 11:55 p.m.
NEDg Description generation batch_6a1633c829e88190a174f35400af8d84 completed May 26, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_6a1634ca88388190880255bb6d4fbe41 completed May 27, 2026, 12:03 a.m.
Created at: April 28, 2026, 12:55 a.m.