Triple
T12706481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolcott |
E303600
|
entity |
| Predicate | hasProximityTo |
P2064
|
FINISHED |
| Object | city of Waterbury |
E569717
|
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: city of Waterbury | Statement: [Wolcott, hasProximityTo, city of Waterbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Waterbury Context triple: [Wolcott, hasProximityTo, city of Waterbury]
-
A.
Waterbury, Connecticut, United States
chosen
Waterbury is a historic industrial city in west-central Connecticut, United States, known for its former prominence in brass manufacturing and its location along the Naugatuck River.
-
B.
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.
-
C.
Watertown, Connecticut
Watertown, Connecticut is a small New England town known for its historic character and residential communities in western Connecticut.
-
D.
Waterbury
Waterbury is a historic industrial city in western Connecticut known for its former prominence in brass manufacturing and its nickname "The Brass City."
-
E.
Waterbury, Vermont
Waterbury, Vermont is a small New England town known for its scenic Green Mountain setting, craft beer and food scene, and attractions like the Ben & Jerry’s factory.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9620663e881908d367170ed6d2c81 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671b4832c8190abc17f5f33b3552a |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:23 p.m.