Triple
T2121760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTtransit |
E43939
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Waterbury, Connecticut |
E97186
|
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: Waterbury, Connecticut | Statement: [CTtransit, servesCity, Waterbury, Connecticut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waterbury, Connecticut Context triple: [CTtransit, servesCity, Waterbury, Connecticut]
-
A.
Danbury, Connecticut
Danbury, Connecticut is a city in western Connecticut known historically for its hat-making industry and as a regional commercial and cultural center.
-
B.
Waterbury
chosen
Waterbury is a historic industrial city in western Connecticut known for its former prominence in brass manufacturing and its nickname "The Brass City."
-
C.
Bristol, Connecticut
Bristol, Connecticut is a city in central Connecticut best known as the longtime home of sports media giant ESPN.
-
D.
Madison, Connecticut
Madison, Connecticut is a coastal New England town on Long Island Sound known for its beaches, historic downtown, and commuter access to larger cities.
-
E.
Watertown, Connecticut
Watertown, Connecticut is a small New England town known for its historic character and residential communities in western Connecticut.
- 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb51e8088190a1aeafee4e8dff63 |
completed | March 7, 2026, 5:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfc83116408190b558cb3eb5dc678f |
completed | March 22, 2026, 10:45 a.m. |
Created at: March 4, 2026, 7:44 p.m.