Triple
T3748531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quinnipiac River |
E81268
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | North Haven |
E369494
|
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: North Haven | Statement: [Quinnipiac River, flowsThrough, North Haven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Haven Context triple: [Quinnipiac River, flowsThrough, North Haven]
-
A.
North Haven
North Haven is a coastal town in New South Wales, Australia, known for its beaches and relaxed seaside lifestyle.
-
B.
North Haven, Connecticut
chosen
North Haven, Connecticut is a suburban town in New Haven County known for its residential neighborhoods, industrial and corporate parks, and proximity to New Haven and Yale University.
-
C.
North Haven, Maine
North Haven, Maine is a small island town in Penobscot Bay known for its scenic coastal landscapes, fishing heritage, and seasonal tourism.
-
D.
Rockland–North Haven
Rockland–North Haven is a Maine State Ferry Service route connecting the mainland port of Rockland with the island community of North Haven in Penobscot Bay.
-
E.
Kennebunkport
Kennebunkport is a coastal resort town in southern Maine known for its historic charm, beaches, and long association with the Bush family.
- 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb6bf95c81909796fbc84995ae05 |
completed | March 8, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db2f5e9881908c10feafbb569f48 |
completed | March 14, 2026, 3:51 a.m. |
Created at: March 8, 2026, 3:35 p.m.