Triple
T11160408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lockheed PV-2 Harpoon |
E264018
|
entity |
| Predicate | someExamplesPreservedAs |
P89806
|
FINISHED |
| Object | museum aircraft |
—
|
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: museum aircraft | Statement: [Lockheed PV-2 Harpoon, someExamplesPreservedAs, museum aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: someExamplesPreservedAs Context triple: [Lockheed PV-2 Harpoon, someExamplesPreservedAs, museum aircraft]
-
A.
somePreservedAs
chosen
Indicates that at least one part or instance of an entity is kept or maintained in a particular state, form, or condition.
-
B.
preservedExample
Indicates that an example instance has been kept intact or maintained in its original state for future reference or use.
-
C.
noPreservedExamples
Indicates that there are currently no surviving or preserved instances of the referenced item, work, or phenomenon.
-
D.
partlyPreservedAs
Indicates that an entity is only partially preserved or remains in incomplete form within another entity or context.
-
E.
memoryPreservedBy
Indicates that a memory or information is maintained, retained, or kept intact through the action, mechanism, or influence of the associated entity.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8817a90819087820d5241c58851 |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75cec26fc8190a5497d186306f935 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:29 p.m.