Triple
T28209662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph F. Dunford Jr. |
E711123
|
entity |
| Predicate | serviceNumberOfBranches |
P176721
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Joseph F. Dunford Jr., serviceNumberOfBranches, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceNumberOfBranches Context triple: [Joseph F. Dunford Jr., serviceNumberOfBranches, 1]
-
A.
hasBranchOffice
Indicates that one organization maintains a branch office or subsidiary location in another place or entity.
-
B.
mayHaveBranchOfficesIn
Indicates that an entity is permitted or allowed to establish branch offices in a specified location.
-
C.
numberOfStores
Indicates the total count of stores associated with a given entity or context.
-
D.
serviceBranchLevel
Indicates the hierarchical level or tier within a service branch at which an entity operates or is classified.
-
E.
numberOfBanks
Indicates the quantity or count of banks associated with a given entity or context.
- F. None of above. chosen
Provenance (4 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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e60109648190947a64ca4ce81a3a |
completed | May 3, 2026, 6:06 a.m. |
Created at: April 27, 2026, 10:38 p.m.