Triple
T329804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston Fish Pier |
E6600
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Boston Fish Pier Company |
E6600
|
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 Fish Pier Company | Statement: [Boston Fish Pier, developer, Boston Fish Pier Company]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boston Fish Pier Company Context triple: [Boston Fish Pier, developer, Boston Fish Pier Company]
-
A.
Boston Fish Pier
chosen
Boston Fish Pier is a historic waterfront complex in Boston known as a longtime hub for the city’s commercial fishing and seafood industry.
-
B.
Shawmut
Shawmut is a neighborhood rapid transit station on Boston's MBTA Red Line, located in the Dorchester area.
-
C.
Maine State Ferry Service
The Maine State Ferry Service is a publicly operated ferry system that provides essential transportation between mainland Maine and several of its coastal island communities.
-
D.
Wall Street Pier 11
Wall Street Pier 11 is a major East River waterfront ferry terminal in Lower Manhattan serving NYC Ferry and other commuter and regional ferry services.
-
E.
Old Port
Old Port is Portland, Maine’s historic waterfront district known for its cobblestone streets, 19th-century brick buildings, and vibrant shops, restaurants, and nightlife.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eaaeb64881909c7ab9bca3378e2b |
completed | Feb. 28, 2026, 1:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3cff160788190a49faad3c011965e |
completed | March 1, 2026, 5:34 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.