Triple
T13142448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danbury, Texas |
E312241
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | Danbury |
—
|
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: Danbury | Statement: [Danbury, Texas, abbreviation, Danbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danbury Context triple: [Danbury, Texas, abbreviation, Danbury]
-
A.
Danbury, Connecticut
chosen
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
Waterbury is a historic industrial city in western Connecticut known for its former prominence in brass manufacturing and its nickname "The Brass City."
-
C.
Naugatuck
Naugatuck is a borough and town in Connecticut known for its industrial history and location along the Naugatuck River.
-
D.
Meriden
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.
-
E.
Meriden
Meriden is a city in central Connecticut known for its historic silver manufacturing industry and landmarks like Castle Craig in Hubbard Park.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981d24da48190b99e713878e8d003 |
completed | April 10, 2026, 11:03 p.m. |
Created at: April 9, 2026, 9:10 p.m.