Triple
T9044389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huntington County, Indiana |
E216717
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Warren, Indiana
Warren, Indiana is a small town in northeastern Indiana known for its rural character and tight-knit community.
|
E797002
|
NE FINISHED |
How this triple was built (4 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: Warren, Indiana | Statement: [Huntington County, Indiana, hasTown, Warren, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warren, Indiana Context triple: [Huntington County, Indiana, hasTown, Warren, Indiana]
-
A.
Winfield, Indiana
Winfield, Indiana is a small suburban town in northwest Indiana known for its residential communities and proximity to the Chicago metropolitan area.
-
B.
Madison, Indiana
Madison, Indiana is a historic river town on the Ohio River known for its well-preserved 19th-century architecture and vibrant small-town cultural life.
-
C.
Harlan, Indiana
Harlan, Indiana is a small unincorporated community in northeastern Indiana located near the city of Fort Wayne.
-
D.
Anderson, Indiana
Anderson, Indiana is a mid-sized city in central Indiana known historically for its automotive industry roots and as the county seat of Madison County.
-
E.
Elkhart, Indiana
Elkhart, Indiana is a small city in northern Indiana known for its recreational vehicle manufacturing industry and location near the Michigan border.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Warren, Indiana Triple: [Huntington County, Indiana, hasTown, Warren, Indiana]
Generated description
Warren, Indiana is a small town in northeastern Indiana known for its rural character and tight-knit community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Warren, Indiana Target entity description: Warren, Indiana is a small town in northeastern Indiana known for its rural character and tight-knit community.
-
A.
Winfield, Indiana
Winfield, Indiana is a small suburban town in northwest Indiana known for its residential communities and proximity to the Chicago metropolitan area.
-
B.
Madison, Indiana
Madison, Indiana is a historic river town on the Ohio River known for its well-preserved 19th-century architecture and vibrant small-town cultural life.
-
C.
Harlan, Indiana
Harlan, Indiana is a small unincorporated community in northeastern Indiana located near the city of Fort Wayne.
-
D.
Anderson, Indiana
Anderson, Indiana is a mid-sized city in central Indiana known historically for its automotive industry roots and as the county seat of Madison County.
-
E.
Elkhart, Indiana
Elkhart, Indiana is a small city in northern Indiana known for its recreational vehicle manufacturing industry and location near the Michigan border.
- F. None of above. chosen
Provenance (5 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_69ca83d22d488190adbce5e020e9cd1d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b137cec8190bd1b812c10d9542a |
completed | April 1, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d10776e8e88190a4433e42a3b55f38 |
completed | April 4, 2026, 12:43 p.m. |
| NEDg | Description generation | batch_69d10811d6c88190ba342772245a7947 |
completed | April 4, 2026, 12:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d108708a988190b6fb571ae689cbf2 |
completed | April 4, 2026, 12:47 p.m. |
Created at: March 30, 2026, 7:09 p.m.