Triple
T3654104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lockheed Martin Aeronautics |
E77488
|
entity |
| Predicate | developsTechnology |
P19268
|
FINISHED |
| Object | stealth technology |
—
|
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: stealth technology | Statement: [Lockheed Martin Aeronautics, developsTechnology, stealth technology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developsTechnology Context triple: [Lockheed Martin Aeronautics, developsTechnology, stealth technology]
-
A.
developsTechnologyFor
Indicates that one entity creates, improves, or engineers technology specifically intended to be used by or to benefit another entity.
-
B.
technologyPioneered
Indicates that an entity was the first or among the first to develop, introduce, or significantly advance a particular technology.
-
C.
technologyBasis
Indicates that one entity is founded on, enabled by, or fundamentally relies upon the technology provided or represented by another entity.
-
D.
technologyField
chosen
Indicates the area or domain of technology in which an entity is involved, specialized, or categorized.
-
E.
technologyIncludes
Indicates that one technology encompasses, contains, or incorporates another technology as part of its components, features, or implementation.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3b9164c81908938a4338430d193 |
completed | March 8, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69adb84650148190bf79231105e58d7f |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.