Triple
T8337479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miamisburg, Ohio |
E195823
|
entity |
| Predicate | hasHistoricBuildingStock |
P42084
|
FINISHED |
| Object | 19th-century commercial buildings |
—
|
LITERAL 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: 19th-century commercial buildings | Statement: [Miamisburg, Ohio, hasHistoricBuildingStock, 19th-century commercial buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricBuildingStock Context triple: [Miamisburg, Ohio, hasHistoricBuildingStock, 19th-century commercial buildings]
-
A.
hasPreservedBuildings
chosen
Indicates that an entity possesses buildings that have been maintained or kept in their original or historical condition.
-
B.
hasHistoricChurches
Indicates that an entity possesses or contains one or more churches of recognized historical significance.
-
C.
residenceHistoric
Indicates that a residence has historical significance or is formally recognized as a historic dwelling.
-
D.
hasHistoricDistrict
Indicates that an entity possesses or contains a designated historic district within its boundaries or domain.
-
E.
hasHistoricSite
Indicates that an entity possesses, contains, or is associated with a place recognized for its historical significance.
- F. None of above.
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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd5027c81909724f25aa30bbe58 |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c3231c81909e3d463192c9de22 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:57 p.m.