Triple
T608514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston Harbor |
E12045
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Boston waterfront |
E501
|
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: Boston waterfront | Statement: [Boston Harbor, borderedBy, Boston waterfront]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boston waterfront Context triple: [Boston Harbor, borderedBy, Boston waterfront]
-
A.
Downtown Boston
Downtown Boston is the city’s historic and commercial core, known for its dense cluster of landmarks, offices, and shopping areas.
-
B.
Back Bay
Back Bay is a historic and upscale Boston neighborhood known for its Victorian brownstone homes, shopping streets like Newbury Street, and proximity to major cultural and green spaces.
-
C.
Boston Common
Boston Common is a historic central public park in downtown Boston and the oldest city park in the United States.
-
D.
Port of Boston
The Port of Boston is a commercial seaport in Lincolnshire, England, serving as a regional hub for cargo handling and maritime trade.
-
E.
Port of Boston
chosen
The Port of Boston is a major New England seaport and transportation hub handling cargo, cruise ships, and maritime commerce for the Boston metropolitan area.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df54eec8190af3f5f04c01d5d2a |
completed | March 1, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b830bf5c81908784e8146987eb96 |
completed | March 4, 2026, 4:42 a.m. |
Created at: March 1, 2026, 7:35 p.m.