Triple
T19359809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Grange, Tennessee |
E484245
|
entity |
| Predicate | hasPreservedArchitectureFromCentury |
P93743
|
FINISHED |
| Object | 19th century |
—
|
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 | Statement: [La Grange, Tennessee, hasPreservedArchitectureFromCentury, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPreservedArchitectureFromCentury Context triple: [La Grange, Tennessee, hasPreservedArchitectureFromCentury, 19th century]
-
A.
containsBuildingFromCentury
chosen
Indicates that a location or area includes at least one building that originates from a specified century.
-
B.
existedInCentury
Indicates that an entity existed or was present during a specified century.
-
C.
constructionCentury
Indicates the century during which something was constructed or built.
-
D.
acquiredInCentury
Indicates that one entity was acquired during a specific century represented by the other entity.
-
E.
hasPreservedBuildings
Indicates that an entity possesses buildings that have been maintained or kept in their original or historical condition.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6190b343c81909734ba776fd196dc |
completed | April 20, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69e4dd13a8cc81909cd02668564c9f29 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 1:34 p.m.