Triple
T2377693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Maritime Museum |
E46236
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Greenwich |
E26315
|
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: Greenwich | Statement: [National Maritime Museum, location, Greenwich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenwich Context triple: [National Maritime Museum, location, Greenwich]
-
A.
Greenwich
chosen
Greenwich is a historic district in southeast London best known for giving its name to the Prime Meridian and Greenwich Mean Time (GMT).
-
B.
Chatham
Chatham is a coastal town on the southeastern tip of Cape Cod in Massachusetts, known for its beaches, historic lighthouse, and maritime character.
-
C.
Chatham
Chatham is a historic town in Kent, England, best known for its former Royal Navy dockyard and maritime heritage.
-
D.
Greenwich, Connecticut, United States
Greenwich, Connecticut, United States is an affluent coastal town in Fairfield County known for its wealthy residents, proximity to New York City, and historic role as a major financial and residential hub.
-
E.
Dover
Dover is a small town in eastern Dutchess County, New York, known for its rural character and location near the Connecticut border.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc79610e8819084abfbccd1dc67c0 |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3ca7ef88190902e1c8429694a82 |
completed | March 9, 2026, 11:49 a.m. |
Created at: March 4, 2026, 7:57 p.m.