Triple
T30340775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lazarus W. Powell |
E771744
|
entity |
| Predicate | hasNameInMemorial |
P25339
|
FINISHED |
| Object | Powell County, Kentucky |
—
|
NE NERFINISHED |
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: Powell County, Kentucky | Statement: [Lazarus W. Powell, hasNameInMemorial, Powell County, Kentucky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameInMemorial Context triple: [Lazarus W. Powell, hasNameInMemorial, Powell County, Kentucky]
-
A.
memorialName
chosen
Indicates that a memorial is known by or designated with a particular name.
-
B.
hasMemorial
Indicates that a memorial exists in honor of, or dedicated to, a particular entity.
-
C.
hasMemorialStatus
Indicates that a subject has been assigned a particular memorial-related status or designation.
-
D.
hasCommemorationName
Indicates that an entity has a specific name used to commemorate or honor a person, event, or concept.
-
E.
hasMemorialContext
Indicates that something is related to, associated with, or situated within the context of a memorial or commemorative setting.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fdb45537288190b6791078d4a6899f |
completed | May 8, 2026, 10 a.m. |
| PD | Predicate disambiguation | batch_69fdb39ad96481908376d7def9fafc13 |
completed | May 8, 2026, 9:57 a.m. |
Created at: April 29, 2026, 7:55 p.m.