Triple
T12230399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highland Lawn Cemetery |
E291459
|
entity |
| Predicate | hasCounty |
P285
|
FINISHED |
| Object | Vigo County |
E304861
|
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: Vigo County | Statement: [Highland Lawn Cemetery, hasCounty, Vigo County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vigo County Context triple: [Highland Lawn Cemetery, hasCounty, Vigo County]
-
A.
Vigo County, Indiana
chosen
Vigo County, Indiana is a county in western Indiana whose seat and largest city is Terre Haute, a regional hub for education, healthcare, and industry.
-
B.
Vanderburgh County, Indiana
Vanderburgh County, Indiana is a county in the southwestern part of the state that includes the city of Evansville, a major regional economic and cultural center.
-
C.
Ogle County
Ogle County is a predominantly rural county in northern Illinois known for its agricultural landscape and small communities.
-
D.
Hendricks County
Hendricks County is a county in central Indiana, United States, located just west of Indianapolis and known for its rapidly growing suburban communities.
-
E.
Tippecanoe County
Tippecanoe County is a county in northwestern Indiana known for being home to the cities of Lafayette and West Lafayette, including Purdue University.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca45bd48190b8b7f6b29b6bb25b |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce593bbc8190827ca217f43140b9 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 8, 2026, 9:51 p.m.