Triple
T23412168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bement School |
E560100
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Deerfield |
E1503295
|
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: Deerfield | Statement: [Bement School, city, Deerfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deerfield Context triple: [Bement School, city, Deerfield]
-
A.
Deerfield
chosen
Deerfield is a small rural community located within Waushara County in central Wisconsin.
-
B.
Deerfield
Deerfield is a small rural village located in Vernon County, in western Missouri, United States.
-
C.
Deerfield, Massachusetts
Deerfield, Massachusetts is a historic New England town in western Massachusetts known for its well-preserved colonial architecture and role in early American history.
-
D.
Delafield
Delafield is a small city in Waukesha County, Wisconsin, known for its lakes, parks, and historic downtown in the greater Milwaukee metropolitan area.
-
E.
Brookefield
Brookefield is a prominent residential and commercial neighborhood in eastern Bangalore, India, known for its IT parks, apartment complexes, and proximity to major tech hubs.
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a5124a54819087a7ae2f8a5b3dc0 |
completed | April 29, 2026, 6:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c679b72888190b9c25ca700f60098 |
completed | May 19, 2026, 1:37 p.m. |
Created at: April 17, 2026, 5:38 p.m.