Triple
T9804701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SIAI-Marchetti |
E237924
|
entity |
| Predicate | S.205Role |
P11687
|
FINISHED |
| Object | light civil 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: light civil aircraft | Statement: [SIAI-Marchetti, S.205Role, light civil aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: S.205Role Context triple: [SIAI-Marchetti, S.205Role, light civil aircraft]
-
A.
servesRole
chosen
Indicates that one entity performs, fulfills, or occupies a particular function, position, or responsibility in relation to another entity.
-
B.
unitRole
Indicates the functional role or purpose that a unit serves within a larger system or context.
-
C.
honorsRoleAs
Indicates that one entity shows respect, recognition, or deference to another entity specifically in their official position or function.
-
D.
sonRole
Indicates that one entity holds the role or relationship of a son with respect to another entity.
-
E.
acknowledgesRoleOf
Indicates that one entity explicitly recognizes and accepts the position, function, or authority that another entity holds.
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdab7a0ce881908f0555d194dece3f |
completed | April 1, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69cd03dd2da881909052fbf29736a773 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:29 p.m.