Triple
T469958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis Nurse |
E8532
|
entity |
| Predicate | landOwnership |
P10159
|
FINISHED |
| Object | owned farmland in Salem Village |
—
|
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: owned farmland in Salem Village | Statement: [Francis Nurse, landOwnership, owned farmland in Salem Village]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landOwnership Context triple: [Francis Nurse, landOwnership, owned farmland in Salem Village]
-
A.
landholdings
chosen
Indicates the extent or collection of land owned, controlled, or held by an entity.
-
B.
requiredShareOfLand
Indicates the proportion or amount of land that must be allocated or possessed to satisfy a specified requirement or rule.
-
C.
majorLandowner
Indicates that one entity owns a large or dominant portion of land in relation to another entity or area.
-
D.
ownershipType
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
-
E.
nobleEstate
Indicates that an entity is a noble’s estate or property associated with nobility.
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efef8b788190857ebf66df562d59 |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2edebb3988190907992a584b4e260 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.