Triple
T986807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persian Corridor |
E21296
|
entity |
| Predicate | majorContributor |
P477
|
FINISHED |
| Object | United States Lend-Lease shipments |
—
|
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: United States Lend-Lease shipments | Statement: [Persian Corridor, majorContributor, United States Lend-Lease shipments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorContributor Context triple: [Persian Corridor, majorContributor, United States Lend-Lease shipments]
-
A.
majorCommentator
Indicates that one entity serves as a primary or highly influential commentator or interpreter of the other entity.
-
B.
contributors
Indicates that one or more entities have provided work, resources, or input toward the creation, development, or maintenance of another entity.
-
C.
majorShareholderOf
Indicates that one entity owns a controlling or significantly large portion of another entity’s shares or equity.
-
D.
notableContribution
chosen
Indicates that an entity has made a significant, recognized contribution to another entity, field, work, or endeavor.
-
E.
importantAuthor
Indicates that an entity plays a significant or primary authorship role in relation to another entity (such as a work, document, or publication).
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4a7754c8190a10ba0587bd8323d |
completed | March 1, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69a4b2abccbc8190a83af432f89eacf5 |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:41 p.m.