Triple
T15138006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barrington River |
E361606
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Barrington |
E498351
|
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: Barrington | Statement: [Barrington River, nearbyTown, Barrington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barrington Context triple: [Barrington River, nearbyTown, Barrington]
-
A.
Barrington
chosen
Barrington is a small town located in Yates County in the Finger Lakes region of New York State.
-
B.
Barrington
Barrington is a suburban coastal town in Bristol County, Rhode Island, known for its affluent residential character and highly ranked public schools.
-
C.
Barrington
Barrington is a small suburban borough located in Camden County, New Jersey, known primarily as a residential community within the Philadelphia metropolitan area.
-
D.
Brookfield
Brookfield is a small settlement located within the High Peak area of Derbyshire in England.
-
E.
Brookfield
Brookfield is a suburban city in southeastern Wisconsin known for its residential neighborhoods, retail centers, and proximity to Milwaukee.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b59b488190b0016970647e7483 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec88096f081908897fd1c5362c274 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:07 a.m.