Triple
T10755869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KLGC |
E253691
|
entity |
| Predicate | usedBySystems |
P8459
|
FINISHED |
| Object | airline operational systems |
—
|
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: airline operational systems | Statement: [KLGC, usedBySystems, airline operational systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedBySystems Context triple: [KLGC, usedBySystems, airline operational systems]
-
A.
usedBySystem
chosen
Indicates that something is utilized or operated by a particular system.
-
B.
systemUsedBy
Indicates that a particular system is utilized or operated by a specified agent or user.
-
C.
usedByOperatingSystems
Indicates that something (such as a component, standard, or feature) is utilized or supported by one or more operating systems.
-
D.
areUsedBy
Indicates that certain entities serve as tools, resources, or means that are utilized or employed by other entities.
-
E.
alsoUsedBy
Indicates that something is additionally utilized or employed by another entity, beyond any primary or previously mentioned user.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d72e9e224c819099d16aba77322812 |
completed | April 9, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69d6f311529c819080ca5493d55d6050 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:15 p.m.