Triple
T197345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chelsea Creek |
E3845
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Port of Boston |
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: Port of Boston | Statement: [Chelsea Creek, partOf, Port of Boston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Boston Context triple: [Chelsea Creek, partOf, Port of Boston]
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
Port of Portland
The Port of Portland is a major Pacific Northwest seaport and transportation hub in Oregon that handles international maritime trade, cargo, and regional logistics.
-
E.
New Bedford, Massachusetts
New Bedford, Massachusetts is a historic coastal city in southeastern Massachusetts known for its prominent 19th-century whaling industry and working waterfront.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a2598594388190a56f36fa036eac84 |
completed | Feb. 28, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a34d935eb48190a6f327ae77917d2c |
completed | Feb. 28, 2026, 8:18 p.m. |
Created at: Feb. 28, 2026, 2:41 a.m.