Triple
T35701602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold F. Pitcairn |
E1031599
|
entity |
| Predicate | licensedTechnologyFrom |
P184076
|
FINISHED |
| Object | Juan de la Cierva |
—
|
NE NERFINISHED |
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: Juan de la Cierva | Statement: [Harold F. Pitcairn, licensedTechnologyFrom, Juan de la Cierva]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: licensedTechnologyFrom Context triple: [Harold F. Pitcairn, licensedTechnologyFrom, Juan de la Cierva]
-
A.
licensedProductType
Indicates the type or category of product for which a license has been granted.
-
B.
restrictedTechnology
Indicates that the use, access, or transfer of a technology is limited or controlled by rules, policies, or regulations.
-
C.
technologyEnabled
Indicates that one entity provides or supports the technological means that allow another entity, process, or capability to function or be carried out.
-
D.
enablesTechnology
Indicates that one entity makes it possible for another entity, system, or process to function through the use or provision of a particular technology.
-
E.
offeredTechnology
Indicates that one entity has provided or proposed a specific technology to another entity as an option for use, adoption, or consideration.
- 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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa6795f481908940838ee7041ff5 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:05 p.m.