Triple
T9408198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lords Proprietors |
E226638
|
entity |
| Predicate | numberOfOriginalProprietors |
P17417
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Lords Proprietors, numberOfOriginalProprietors, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfOriginalProprietors Context triple: [Lords Proprietors, numberOfOriginalProprietors, 8]
-
A.
numberOfOwners
chosen
Indicates the total count of distinct owners associated with a given entity.
-
B.
firstHoldersBelongedTo
Indicates that the initial holders or owners of something were members of, or affiliated with, a particular group, organization, or category.
-
C.
hasSuccessiveHolders
Indicates that one entity has a sequence of different entities that have held the same role, position, or status one after another over time.
-
D.
numberOfEstates
Indicates the total count of estates associated with a given entity or context.
-
E.
acquiredByCurrentOwner
Indicates that the entity was obtained or purchased by its present owner, rather than being originally created or owned by them.
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5252b3fc8190b0808a10987728c8 |
completed | April 1, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69cca54c37f88190bddccf28e5fe5c84 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:47 p.m.