Triple
T21328028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A45 road |
E525813
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Meriden |
—
|
NE NERFINISHED |
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: [A45 road, passesThrough, Meriden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meriden Context triple: [A45 road, passesThrough, Meriden]
-
A.
Meriden
Meriden is a city in central Connecticut known for its historic silver manufacturing industry and landmarks like Castle Craig in Hubbard Park.
-
B.
Meriden
chosen
Meriden is a village and civil parish in the West Midlands of England, historically known as a traditional contender for the geographical centre of England.
-
C.
Hamden
Hamden is a suburban town in south-central Connecticut, known for its proximity to New Haven and as the home of Quinnipiac University.
-
D.
Hartford
Hartford is the capital city of Connecticut and a historic center of insurance, government, and culture in the northeastern United States.
-
E.
Hartford
Hartford is a small city in eastern South Dakota that functions as a suburban community within the greater Sioux Falls metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab4d69b4819088649e34213d0b67 |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 16, 2026, 4:41 p.m.