Triple
T3748529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quinnipiac River |
E81268
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Meriden |
E445917
|
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: Meriden | Statement: [Quinnipiac River, flowsThrough, Meriden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meriden Context triple: [Quinnipiac River, flowsThrough, Meriden]
-
A.
Meriden
chosen
Meriden is a city in central Connecticut known for its historic silver manufacturing industry and landmarks like Castle Craig in Hubbard Park.
-
B.
Hamden
Hamden is a suburban town in south-central Connecticut, known for its proximity to New Haven and as the home of Quinnipiac University.
-
C.
Hartford
Hartford is the capital city of Connecticut and a historic center of insurance, government, and culture in the northeastern United States.
-
D.
Naugatuck
Naugatuck is a borough and town in Connecticut known for its industrial history and location along the Naugatuck River.
-
E.
Waterbury
Waterbury is a historic industrial city in western Connecticut known for its former prominence in brass manufacturing and its nickname "The Brass City."
- 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_69c968c9a1a48190b6ea5bb08ff745af |
completed | March 29, 2026, 6 p.m. |
Created at: March 8, 2026, 3:35 p.m.