Triple
T20033765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Penn |
E497204
|
entity |
| Predicate | sharesOfProprietorship |
P7881
|
FINISHED |
| Object | one-half interest in Pennsylvania |
—
|
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: one-half interest in Pennsylvania | Statement: [Thomas Penn, sharesOfProprietorship, one-half interest in Pennsylvania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesOfProprietorship Context triple: [Thomas Penn, sharesOfProprietorship, one-half interest in Pennsylvania]
-
A.
privateShareOfStock
Indicates that one entity privately transfers or allocates shares of stock to another entity, outside of a public market transaction.
-
B.
typeOfShareholders
Indicates the classification or category of shareholders associated with an entity (e.g., individual, institutional, majority, minority).
-
C.
ownershipStructure
chosen
Indicates how ownership or control is distributed among entities within an organization or asset.
-
D.
hasShareholdersFrom
Indicates that an entity has shareholders who originate from or are associated with a specified country, region, or organization.
-
E.
sharesOwnershipStructureWith
Indicates that two entities have the same or closely aligned ownership structure, such as sharing the same owners, parent company, or control hierarchy.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662e6a7e481908069c1de2b3f94e0 |
completed | April 20, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69e54ce752748190a0a1ffddd0372271 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:36 p.m.