Triple
T639102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mattapan Trolley |
E16691
|
entity |
| Predicate | neighborhoodServed |
P82
|
FINISHED |
| Object | Dorchester |
E73521
|
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: Dorchester | Statement: [Mattapan Trolley, neighborhoodServed, Dorchester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorchester Context triple: [Mattapan Trolley, neighborhoodServed, Dorchester]
-
A.
Dorchester
chosen
Dorchester is one of the earliest English settlements in New England, now a historic neighborhood of Boston, Massachusetts.
-
B.
Roxbury
Roxbury is one of the earliest English-settled neighborhoods of present-day Boston, historically significant as a colonial town in what became Massachusetts.
-
C.
Chelsea, Massachusetts
Chelsea, Massachusetts is a small, densely populated city just north of Boston known for its industrial history, diverse immigrant communities, and location along the Mystic River.
-
D.
Boston Common
Boston Common is a historic central public park in downtown Boston and the oldest city park in the United States.
-
E.
Brookline
Brookline is an affluent, historic suburban town directly bordering Boston, known for its tree-lined streets, excellent public schools, and vibrant residential neighborhoods.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a515ceb081908c064b2082047c0f |
completed | March 1, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad67e82a2481909f6d2737f820121a |
completed | March 8, 2026, 12:13 p.m. |
Created at: March 1, 2026, 7:35 p.m.