Triple
T10116849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highlands station |
E223180
|
entity |
| Predicate | municipality |
P852
|
FINISHED |
| Object | Hinsdale |
E194245
|
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: Hinsdale | Statement: [Highlands station, municipality, Hinsdale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hinsdale Context triple: [Highlands station, municipality, Hinsdale]
-
A.
Hinsdale
chosen
Hinsdale is a small rural town in western Massachusetts known for its scenic Berkshire landscapes and outdoor recreation.
-
B.
Hinsdale, Illinois
Hinsdale, Illinois is an affluent suburban village in the Chicago metropolitan area known for its historic homes, highly rated schools, and picturesque downtown.
-
C.
Delafield
Delafield is a small city in Waukesha County, Wisconsin, known for its lakes, parks, and historic downtown in the greater Milwaukee metropolitan area.
-
D.
Westleton
Westleton is a small rural village and civil parish in eastern England, situated within the county of Suffolk near the Suffolk Coast and Heaths Area of Outstanding Natural Beauty.
-
E.
Deerfield
Deerfield is a small rural village located in Vernon County, in western Missouri, United States.
- 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_69ca8422047c81909d66b717b8b18cf3 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd162fac0819084c74947c1f6688e |
completed | April 2, 2026, 2:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3174bc46081909d78cdb524625ec3 |
completed | April 6, 2026, 2:15 a.m. |
Created at: March 30, 2026, 9:04 p.m.