Triple
T18655109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storrs Lectures |
E456040
|
entity |
| Predicate | namedFor |
P63
|
FINISHED |
| Object | Storrs |
—
|
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: Storrs | Statement: [Storrs Lectures, namedFor, Storrs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Storrs Context triple: [Storrs Lectures, namedFor, Storrs]
-
A.
Storrs, Connecticut
chosen
Storrs, Connecticut is a village in the town of Mansfield best known as the home of the University of Connecticut’s main campus.
-
B.
Middlebury
Middlebury is a small suburban town in western Connecticut known for its residential character and proximity to Waterbury.
-
C.
Amherst
Amherst is an English surname historically associated with the British aristocratic Amherst family, including military commander Jeffery Amherst, 1st Baron Amherst.
-
D.
Amherst
Amherst is a town in northwestern Nova Scotia, Canada, known historically as a regional industrial and transportation hub.
-
E.
Amherst
Amherst is a small unincorporated community located within Sedgwick County in the U.S. state of Kansas.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55084012881909b9dd60565011c86 |
completed | April 19, 2026, 10 p.m. |
Created at: April 10, 2026, 11:47 a.m.