Triple
T18298320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caldy |
E438290
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Newton |
—
|
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: Newton | Statement: [Caldy, nearbySettlement, Newton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Newton Context triple: [Caldy, nearbySettlement, Newton]
-
A.
Newton
Newton is a suburban city in Massachusetts known for its residential neighborhoods, strong public schools, and proximity to Boston.
-
B.
Newton
Newton is a common English surname most famously associated with figures such as physicist Sir Isaac Newton and activist Huey P. Newton.
-
C.
Newton
Newton is a small Midwestern town that later became known as Rensselaer in Indiana, United States.
-
D.
Newton
Newton is a small city in central Iowa known historically for its manufacturing industry, particularly as the former headquarters of the Maytag Corporation.
-
E.
Newton
Newton is the vehicle registration code used on license plates issued in Newton County, Georgia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5017d96588190ac1e326803142976 |
completed | April 19, 2026, 4:23 p.m. |
Created at: April 10, 2026, 10:35 a.m.