Triple
T4070984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Wharf, Boston |
E86644
|
entity |
| Predicate | ferryServiceTo |
P1737
|
FINISHED |
| Object | Charlestown |
E260151
|
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: Charlestown | Statement: [Long Wharf, Boston, ferryServiceTo, Charlestown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlestown Context triple: [Long Wharf, Boston, ferryServiceTo, Charlestown]
-
A.
Charlestown
Charlestown is the main town and administrative center of the Caribbean island of Nevis, known for its colonial architecture and historic hot springs.
-
B.
Charlestown
Charlestown is a district in north Manchester, England, known as a primarily residential area with local amenities and community facilities.
-
C.
Dorchester
Dorchester is one of the earliest English settlements in New England, now a historic neighborhood of Boston, Massachusetts.
-
D.
Dorchester
Dorchester is a historic market town in Dorset, England, known as the county town and closely associated with the life and works of novelist Thomas Hardy.
-
E.
Charlestown waterfront
chosen
The Charlestown waterfront is a historic Boston harbor area known for its scenic Harborwalk paths, maritime heritage, and views of landmarks like the USS Constitution and Bunker Hill.
- 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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af019af25481909e9f1d171356f3e8 |
completed | March 9, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562b6eb708190a7f60192d8df9a27 |
completed | March 14, 2026, 1:29 p.m. |
Created at: March 9, 2026, 3:38 p.m.