Triple
T6857591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arniston House |
E158186
|
entity |
| Predicate | hasOwnershipStatus |
P42348
|
FINISHED |
| Object | privately owned |
—
|
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 | Statement: [Arniston House, hasOwnershipStatus, privately owned]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOwnershipStatus Context triple: [Arniston House, hasOwnershipStatus, privately owned]
-
A.
hasOwnerShare
Indicates that an entity holds a specified ownership stake or share in another entity or asset.
-
B.
hasOwnershipForm
chosen
Indicates that an entity possesses a particular legal or organizational form of ownership (such as private, public, or cooperative).
-
C.
hasProprietaryStatus
Indicates that something is owned, controlled, or protected as proprietary rather than being public or freely available.
-
D.
hasIPOwner
Indicates that one entity holds ownership or legal rights over the intellectual property associated with another entity.
-
E.
isStateOwned
Indicates that an entity is owned or controlled by a government or state authority.
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6da3ce95081909a424ac04bc7fa07 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b168908190b2f7c724b1bc7fc9 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:21 p.m.