Triple
T382889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N-X-211 |
E8717
|
entity |
| Predicate | registrationMarkingLocation |
P4188
|
FINISHED |
| Object | fuselage |
—
|
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: fuselage | Statement: [N-X-211, registrationMarkingLocation, fuselage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: registrationMarkingLocation Context triple: [N-X-211, registrationMarkingLocation, fuselage]
-
A.
examinationLocation
Indicates the place or setting where an examination or test is conducted.
-
B.
markType
Indicates the specific category or kind of mark associated with or applied to an entity.
-
C.
fareControlLocation
Indicates a location where access to or use of a transportation service is regulated, checked, or controlled for fare payment.
-
D.
hasOfficialInsigniaLocation
Indicates the specific place where an entity’s official insignia is physically located or displayed.
-
E.
inscribedOn
chosen
Indicates that text, symbols, or markings are written or carved onto the surface of an object.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec40ff8c81909306eb2dfe1512af |
completed | Feb. 28, 2026, 1:23 p.m. |
| PD | Predicate disambiguation | batch_69a2e96602188190b0cbc167f55a9237 |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.