Triple
T26518450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornelia Jefferson Randolph |
E669884
|
entity |
| Predicate | notablePlaceDepicted |
P198253
|
FINISHED |
| Object | Monticello |
—
|
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: Monticello | Statement: [Cornelia Jefferson Randolph, notablePlaceDepicted, Monticello]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notablePlaceDepicted Context triple: [Cornelia Jefferson Randolph, notablePlaceDepicted, Monticello]
-
A.
notablePlace
Indicates that a place is especially significant, famous, or noteworthy in relation to the subject.
-
B.
containsNotablePlace
Indicates that one location includes within its boundaries a place that is considered notable or significant.
-
C.
notableLocation
Indicates that a location is especially significant, prominent, or noteworthy in relation to the subject.
-
D.
heritageSiteDepicted
Indicates that a heritage site is visually represented or shown in another resource, such as an image, map, or artwork.
-
E.
notableSpot
Indicates that a location is recognized as a significant or noteworthy place in some context.
- F. None of above. chosen
Provenance (4 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_69eeb31b6dcc8190b30632dc3928a0c0 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fed6da0390819096b88ef4714b144e |
completed | May 9, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69fed53517d081909966f31707625f1a |
completed | May 9, 2026, 6:33 a.m. |
| PDg | Predicate description generation | batch_69fed6d90f2081909cd21e5e973a6b89 |
completed | May 9, 2026, 6:40 a.m. |
Created at: April 27, 2026, 1:25 a.m.