Triple
T1143910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Indonesian Time |
E23518
|
entity |
| Predicate | isUsedInAviationFor |
P7940
|
FINISHED |
| Object | domestic flight schedules in western Indonesia |
—
|
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: domestic flight schedules in western Indonesia | Statement: [Western Indonesian Time, isUsedInAviationFor, domestic flight schedules in western Indonesia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUsedInAviationFor Context triple: [Western Indonesian Time, isUsedInAviationFor, domestic flight schedules in western Indonesia]
-
A.
usedInAviation
chosen
Indicates that something is employed or applied within the field or context of aviation.
-
B.
usedInAviationAs
Indicates that something serves a particular role, function, or application within the field of aviation.
-
C.
aviationUsage
Indicates that something is used for, involved in, or associated with aviation-related activities or purposes.
-
D.
usedOnAircraftName
Indicates that something is employed or applied on an aircraft identified by a specific name.
-
E.
aircraftManufacturerUsed
Indicates that a particular aircraft manufacturer was employed or utilized in relation to another entity, such as for production, design, or supply purposes.
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc5008d8819095c1ffb5db5b4911 |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4d4104819084027a043c6118cb |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.