Triple
T7647605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shadwell plantation |
E173163
|
entity |
| Predicate | laterResidenceShiftOf |
P77808
|
FINISHED |
| Object | Thomas Jefferson to Monticello |
—
|
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: Thomas Jefferson to Monticello | Statement: [Shadwell plantation, laterResidenceShiftOf, Thomas Jefferson to Monticello]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterResidenceShiftOf Context triple: [Shadwell plantation, laterResidenceShiftOf, Thomas Jefferson to Monticello]
-
A.
hasNearbyFormerResidenceOf
Indicates that one entity is located near a place that used to be the residence of another entity.
-
B.
otherResidence
Indicates that an entity has an additional or alternative place of residence beyond its primary home.
-
C.
movedPremises
Indicates that an entity has changed its location or base of operations from one set of premises to another.
-
D.
laterOccupant
Indicates that one entity occupied or held a position in a place or role after another entity had previously done so.
-
E.
formerResidenceOf
Indicates that a location was once the place where a person or entity lived or was based, but is no longer their current residence.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faf6328c8190bce0a3f8a17ef890 |
completed | March 27, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e9ef1c81909c8bff716541ac1f |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8195e5c8190835e28d44e19f6ef |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:58 p.m.