Triple
T14029124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jasper Parklands |
E337539
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Jasper, Indiana |
E1074865
|
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: Jasper, Indiana | Statement: [Jasper Parklands, locatedIn, Jasper, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jasper, Indiana Context triple: [Jasper Parklands, locatedIn, Jasper, Indiana]
-
A.
Jasper, Indiana
chosen
Jasper, Indiana is a small city in southwestern Indiana known for its strong German heritage, manufacturing base, and historic attractions along the Patoka River.
-
B.
Jacksonburg, Indiana
Jacksonburg, Indiana is a small unincorporated rural community located in Wayne County in the eastern part of the state.
-
C.
St. John, Indiana
St. John, Indiana is a suburban town in Lake County known for its residential communities, good schools, and proximity to the Chicago metropolitan area.
-
D.
Jamestown, Indiana
Jamestown, Indiana is a small town in central Indiana known for its rural character and tight-knit community.
-
E.
Jasonville, Indiana
Jasonville, Indiana is a small city in southwestern Indiana known historically for its coal mining roots and close-knit rural community.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa9f8248190930954d609dee5f1 |
completed | April 14, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb657ab348190ab51ec0e8caa2c4f |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.