Triple
T9943895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MBTA bus route 504 |
E194151
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | downtown Boston |
E95364
|
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: downtown Boston | Statement: [MBTA bus route 504, connects, downtown Boston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: downtown Boston Context triple: [MBTA bus route 504, connects, downtown Boston]
-
A.
Downtown Boston
chosen
Downtown Boston is the city’s historic and commercial core, known for its dense cluster of landmarks, offices, and shopping areas.
-
B.
Boston cultural district
The Boston cultural district is a vibrant urban area in Boston known for its concentration of arts institutions, theaters, galleries, and cultural venues.
-
C.
Boston town centre
Boston town centre is the historic commercial and civic heart of Boston, Lincolnshire, featuring traditional markets, shops, and notable heritage buildings.
-
D.
South Boston
South Boston is a densely populated waterfront neighborhood of Boston, Massachusetts, known for its strong Irish-American heritage and rapidly gentrifying urban landscape.
-
E.
South Boston
South Boston is an independent town in southern Virginia known for its historic downtown, former tobacco warehouses, and proximity to the Dan River.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb613fbb48190b82a06987310cc96 |
completed | April 2, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2291a22f88190acf055a7410c1808 |
completed | April 5, 2026, 9:19 a.m. |
Created at: March 30, 2026, 8:45 p.m.