Triple

T26152425
Position Surface form Disambiguated ID Type / Status
Subject Park Street surface-level streetcar stops (historical) E659864 entity
Predicate accessTo P1985 FINISHED
Object Park Street subway platforms
Park Street subway platforms are underground rapid transit platforms at Boston’s Park Street station, serving as a major hub on the MBTA’s Red and Green Lines.
E1712213 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: Park Street subway platforms | Statement: [Park Street surface-level streetcar stops (historical), accessTo, Park Street subway platforms]
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: Park Street subway platforms
Triple: [Park Street surface-level streetcar stops (historical), accessTo, Park Street subway platforms]
Generated description
Park Street subway platforms are underground rapid transit platforms at Boston’s Park Street station, serving as a major hub on the MBTA’s Red and Green Lines.

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_69ee5bc5a9908190899d39ce95c6d215 completed April 26, 2026, 6:39 p.m.
NER Named-entity recognition batch_69f60c0bac8081909e39d4e0aaf0f31d completed May 2, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11277044748190a6e0eafe799e3700 completed May 23, 2026, 4:05 a.m.
NEDg Description generation batch_6a1151eef96c8190a071c82455e93f93 completed May 23, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_6a1152925f2c819087f09c331e3e0344 completed May 23, 2026, 7:09 a.m.
Created at: April 26, 2026, 8:25 p.m.