Triple
T11521221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greene County, Indiana |
E273165
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Linton, Indiana |
E1018544
|
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: Linton, Indiana | Statement: [Greene County, Indiana, hasCity, Linton, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linton, Indiana Context triple: [Greene County, Indiana, hasCity, Linton, Indiana]
-
A.
Linton, Indiana
chosen
Linton, Indiana is a small city in southwestern Indiana known historically for its coal mining heritage and annual Freedom Festival.
-
B.
Lilly Dale, Indiana
Lilly Dale, Indiana is a small unincorporated community located in Perry County in the southern 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.
Ligonier, Indiana
Ligonier, Indiana is a small city in northeastern Indiana known for its historic downtown and cultural heritage within Noble County.
-
E.
Lizton, Indiana
Lizton, Indiana is a small rural town in central Indiana known for its close-knit community and location within the Indianapolis metropolitan area.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd129c88190893b95222480e04a |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5e2b0408190866bbe9a3a56928b |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 8, 2026, 9:36 p.m.