Triple
T20703863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BAC One-Eleven (re-engined variants) |
E508847
|
entity |
| Predicate | modificationScope |
P141162
|
FINISHED |
| Object | powerplant replacement |
—
|
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: powerplant replacement | Statement: [BAC One-Eleven (re-engined variants), modificationScope, powerplant replacement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modificationScope Context triple: [BAC One-Eleven (re-engined variants), modificationScope, powerplant replacement]
-
A.
modificationControl
Indicates that one entity has the authority or capability to alter, update, or otherwise change another entity or its properties.
-
B.
definesScopeFor
Indicates that one entity establishes or delimits the scope, boundaries, or applicability within which another entity operates or is interpreted.
-
C.
reservationScope
Indicates the extent or range within which a reservation applies or is valid.
-
D.
modificationLevel
Indicates the degree or extent to which something has been altered, adjusted, or changed from its original state.
-
E.
encodingScope
Indicates the range or extent of content or information that is covered, represented, or captured by a particular encoding.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18dbda081908217dcb61cbf7ba4 |
completed | April 21, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69e5c044d1108190b2b5d25de23f6401 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:13 p.m.