Triple
T21554363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Central Indiana |
E531847
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Brazil, Indiana
Brazil, Indiana is a small city in Clay County that serves as a local commercial and cultural hub in west-central Indiana.
|
E1490446
|
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: Brazil, Indiana | Statement: [West Central Indiana, containsSettlement, Brazil, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brazil, Indiana Context triple: [West Central Indiana, containsSettlement, Brazil, Indiana]
-
A.
Peru, Indiana
Peru, Indiana is a small city in north-central Indiana known for its historic downtown, circus heritage, and role as the county seat of Miami County.
-
B.
Angola, Indiana
Angola, Indiana is a small city in northeastern Indiana known as a regional hub for education, commerce, and access to the area’s many lakes.
-
C.
Honduras, Indiana
Honduras, Indiana is a small unincorporated rural community located in Adams County in the U.S. state of Indiana.
-
D.
Indiana
"Indiana" is a jazz standard widely performed and recorded by saxophonist Don Byas, showcasing his virtuosic improvisational style.
-
E.
Indiana
Indiana is a U.S. state known for its manufacturing base, rich agricultural land, and iconic events like the Indianapolis 500.
- 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: Brazil, Indiana Triple: [West Central Indiana, containsSettlement, Brazil, Indiana]
Generated description
Brazil, Indiana is a small city in Clay County that serves as a local commercial and cultural hub in west-central Indiana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brazil, Indiana Target entity description: Brazil, Indiana is a small city in Clay County that serves as a local commercial and cultural hub in west-central Indiana.
-
A.
Peru, Indiana
Peru, Indiana is a small city in north-central Indiana known for its historic downtown, circus heritage, and role as the county seat of Miami County.
-
B.
Angola, Indiana
Angola, Indiana is a small city in northeastern Indiana known as a regional hub for education, commerce, and access to the area’s many lakes.
-
C.
Honduras, Indiana
Honduras, Indiana is a small unincorporated rural community located in Adams County in the U.S. state of Indiana.
-
D.
Indiana
"Indiana" is a jazz standard widely performed and recorded by saxophonist Don Byas, showcasing his virtuosic improvisational style.
-
E.
Indiana
Indiana is a U.S. state known for its manufacturing base, rich agricultural land, and iconic events like the Indianapolis 500.
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2de1c248190b303a4a55b022374 |
completed | April 27, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09eee58b088190a5cfcbbe7b095bc6 |
completed | May 17, 2026, 4:37 p.m. |
| NEDg | Description generation | batch_6a09f033a55c81908d221e4b5c9c1b95 |
completed | May 17, 2026, 4:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09f0cb21a081908afa371741754eaa |
completed | May 17, 2026, 4:46 p.m. |
Created at: April 16, 2026, 6:29 p.m.