Triple
T991153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeing X-32 |
E21391
|
entity |
| Predicate | intendedReplacementFor |
P21015
|
FINISHED |
| Object | various legacy fighter and attack 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: various legacy fighter and attack aircraft | Statement: [Boeing X-32, intendedReplacementFor, various legacy fighter and attack aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedReplacementFor Context triple: [Boeing X-32, intendedReplacementFor, various legacy fighter and attack aircraft]
-
A.
placedBy
Indicates that one entity was positioned, set, or put in a location or context by another entity.
-
B.
seeksToReplace
chosen
Indicates an intention or effort by one entity to take over the role, function, or position currently held by another entity.
-
C.
replacedInterface
Indicates that one interface has been substituted or superseded by another interface.
-
D.
usedInsteadOf
Indicates that one entity is employed or chosen as a substitute or replacement for another entity.
-
E.
isAlternativeTo
Indicates that one entity can serve as a substitute or different option in place of another.
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4c25e5081909ff1ada6b8bf617a |
completed | March 1, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69a4b2adbde48190b07966d0c3179516 |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:41 p.m.