Triple
T4504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NACA |
E86
|
entity |
| Predicate | legacy |
P267
|
FINISHED |
| Object | foundation of modern American aeronautics research infrastructure |
—
|
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: foundation of modern American aeronautics research infrastructure | Statement: [NACA, legacy, foundation of modern American aeronautics research infrastructure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legacy Context triple: [NACA, legacy, foundation of modern American aeronautics research infrastructure]
-
A.
hasLegacy
chosen
Indicates that an entity leaves behind a lasting impact, influence, or inheritance that continues to exist or be recognized over time.
-
B.
era
Indicates that something existed, occurred, or was valid during a specified historical or temporal period.
-
C.
formerName
Indicates that an entity was previously known by a different name in the past.
-
D.
usedSinceCentury
Indicates that something has been in use starting from a specified century.
-
E.
predecessor
Indicates that one entity comes before another in an ordered sequence or succession.
- 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_69a238d6b47881909e68288aed2fd858 |
completed | Feb. 28, 2026, 12:37 a.m. |
| NER | Named-entity recognition | batch_69a23c24b3d08190a714126292fd5479 |
completed | Feb. 28, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69a23998af288190855f0456740cbd51 |
completed | Feb. 28, 2026, 12:40 a.m. |
Created at: Feb. 28, 2026, 12:40 a.m.