Triple
T6138552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Norris Dickinson |
E136897
|
entity |
| Predicate | propertyRights |
P34249
|
FINISHED |
| Object | held and managed landholdings in Pennsylvania |
—
|
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: held and managed landholdings in Pennsylvania | Statement: [Mary Norris Dickinson, propertyRights, held and managed landholdings in Pennsylvania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: propertyRights Context triple: [Mary Norris Dickinson, propertyRights, held and managed landholdings in Pennsylvania]
-
A.
property
Indicates that one entity possesses, is characterized by, or has an attribute or quality associated with another entity.
-
B.
landTenure
chosen
Indicates the type, conditions, or rights under which land is held, used, or owned by an entity.
-
C.
landPolicy
Indicates a relationship where an authority defines or applies rules governing the ownership, use, management, or distribution of land.
-
D.
rights
Indicates that an entity possesses entitlements, permissions, or legal/moral claims in relation to another entity or context.
-
E.
estate
Indicates a legal or ownership relationship in which a person or entity holds rights, interests, or control over property or assets.
- 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c855a2481909801de9fd55686a4 |
completed | March 22, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c055f19b0c81908be34a00ab218723 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:15 p.m.