Triple
T6202015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennings family |
E138655
|
entity |
| Predicate | legalStatusOfProperty |
P41739
|
FINISHED |
| Object | privately owned territory |
—
|
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: privately owned territory | Statement: [Jennings family, legalStatusOfProperty, privately owned territory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusOfProperty Context triple: [Jennings family, legalStatusOfProperty, privately owned territory]
-
A.
propertyStatus
Indicates the current condition, state, or classification assigned to a property within a given context (e.g., availability, legal standing, or operational state).
-
B.
landPolicy
Indicates a relationship where an authority defines or applies rules governing the ownership, use, management, or distribution of land.
-
C.
hasLandStatus
chosen
Indicates that an entity possesses a particular legal or administrative status regarding land (such as ownership, tenure, protection, or use designation).
-
D.
landTenure
Indicates the type, conditions, or rights under which land is held, used, or owned by an entity.
-
E.
legalArea
Indicates the specific field or branch of law that a legal matter, case, or document pertains to.
- 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_69c008acbea48190991c6b834bb45d65 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062559bcc81908942bb4d25fe8158 |
completed | March 22, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c055fbce1081908805fd12e242ab96 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:20 p.m.