Triple
T31739612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arlington plantation |
E810097
|
entity |
| Predicate | dateOfCemeteryEstablishment |
P39958
|
FINISHED |
| Object | 1864 |
—
|
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: 1864 | Statement: [Arlington plantation, dateOfCemeteryEstablishment, 1864]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfCemeteryEstablishment Context triple: [Arlington plantation, dateOfCemeteryEstablishment, 1864]
-
A.
usedAsCemeterySince
chosen
Indicates that a place has functioned as a cemetery starting from a specified point in time.
-
B.
dateOfBurial
Indicates the specific date on which an entity was buried.
-
C.
usedAsBurialGroundUntil
Indicates that a place functioned as a burial ground up to a specified end time or date.
-
D.
hasNotablePeriodOfUseAsCemetery
Indicates that something was significantly used as a cemetery during a particular period of time.
-
E.
eraOfMostBurials
Indicates the historical time period during which the greatest number of burials occurred for a given site or context.
- 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_69f348e0e4908190a884582eca646fb7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: April 30, 2026, 11:24 p.m.