Triple
T21520280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lockheed Martin X-27 |
E530956
|
entity |
| Predicate | isPrototypeBuilt |
P144694
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Lockheed Martin X-27, isPrototypeBuilt, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPrototypeBuilt Context triple: [Lockheed Martin X-27, isPrototypeBuilt, false]
-
A.
isPrototypeOfClassUsedIn
Indicates that one class serves as the prototype or template for another class that is used within a given context or system.
-
B.
hasBuilt
Indicates that one entity is the creator or constructor of another entity.
-
C.
hasBuiltEnvironment
Indicates that an entity possesses, contains, or is associated with human-made physical structures or infrastructure in its environment.
-
D.
hasRebuilt
Indicates that an entity has restored, reconstructed, or built again something that previously existed or was damaged or destroyed.
-
E.
componentBuilt
Indicates that one entity has constructed, assembled, or otherwise created another entity as a component or part.
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee884bfa548190a39e5992ed6bb8a8 |
completed | April 26, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e6386c5a4481909c37f7de7e9fc025 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 16, 2026, 6:26 p.m.