Triple
T4786556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tree That Owns Itself |
E106491
|
entity |
| Predicate | ownershipExtent |
P57987
|
FINISHED |
| Object | land within eight feet of its base |
—
|
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: land within eight feet of its base | Statement: [Tree That Owns Itself, ownershipExtent, land within eight feet of its base]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownershipExtent Context triple: [Tree That Owns Itself, ownershipExtent, land within eight feet of its base]
-
A.
ownershipType
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
-
B.
ownedIn
chosen
Indicates that one entity possesses or holds legal or recognized ownership of another entity within a specific context, domain, or scope.
-
C.
ownershipCharacteristic
Indicates that one entity possesses a particular quality, attribute, or condition specifically in its role as an owner of another entity.
-
D.
ownershipEnd
Indicates the point or event at which an entity’s ownership of another entity ceases or is terminated.
-
E.
ownershipStart
Indicates the point in time at which an entity begins to own or hold legal possession of another entity.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65d8f9d881909c24340b8dc6a104 |
completed | March 20, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69bd622e1b408190806c15c61519fc74 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:22 p.m.