Triple
T3482363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorchester |
E73521
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object | Mattapan |
E104962
|
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: Mattapan | Statement: [Dorchester, hasBorderWith, Mattapan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mattapan Context triple: [Dorchester, hasBorderWith, Mattapan]
-
A.
Mattapan
chosen
Mattapan is a residential neighborhood in Boston, Massachusetts, known for its diverse community and location in the city's southern section.
-
B.
Fairhaven
Fairhaven is a historic coastal town in southeastern Massachusetts known for its picturesque harbor, rich maritime heritage, and well-preserved 19th-century architecture.
-
C.
Kingston, Massachusetts
Kingston, Massachusetts is a coastal New England town in Plymouth County known for its historic character and proximity to Plymouth and Cape Cod Bay.
-
D.
Cotuit
Cotuit is a seaside village on Cape Cod in the town of Barnstable, Massachusetts, known for its historic character and shellfishing heritage.
-
E.
Swampscott
Swampscott is a coastal town in northeastern Massachusetts known for its residential character and seaside location north of Boston.
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb76b5188190bf8f8a3f646a7184 |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48821c3388190957dfccdcbdfff40 |
completed | March 13, 2026, 9:56 p.m. |
Created at: March 8, 2026, 3:17 p.m.