Triple
T13583451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zachary Taylor National Cemetery |
E324481
|
entity |
| Predicate | hasBurialEra |
P45931
|
FINISHED |
| Object | Civil War era veterans |
—
|
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: Civil War era veterans | Statement: [Zachary Taylor National Cemetery, hasBurialEra, Civil War era veterans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBurialEra Context triple: [Zachary Taylor National Cemetery, hasBurialEra, Civil War era veterans]
-
A.
hasBurialsOf
Indicates that a location or site contains or includes the burial places of certain individuals or groups.
-
B.
hasBurialsFrom
chosen
Indicates that a location or site contains burials originating from a specified time period, culture, or source.
-
C.
eraOfMostBurials
Indicates the historical time period during which the greatest number of burials occurred for a given site or context.
-
D.
hasTypeOfBurial
Indicates the specific kind or method of burial associated with an entity.
-
E.
hasBurialCustoms
Indicates that a group, culture, or society practices specific rituals or customs related to the treatment and burial of the dead.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb031e8048190a5f2ea934308036c |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae161a0481909f9d3f40ca4e0ac5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.