Triple
T267970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China Standard Time |
E5773
|
entity |
| Predicate | usedInAviationAs |
P9620
|
FINISHED |
| Object | UTC+8 |
—
|
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: UTC+8 | Statement: [China Standard Time, usedInAviationAs, UTC+8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInAviationAs Context triple: [China Standard Time, usedInAviationAs, UTC+8]
-
A.
usedInAviation
Indicates that something is employed or applied within the field or context of aviation.
-
B.
aviationUsage
Indicates that something is used for, involved in, or associated with aviation-related activities or purposes.
-
C.
aircraftManufacturerUsed
Indicates that a particular aircraft manufacturer was employed or utilized in relation to another entity, such as for production, design, or supply purposes.
-
D.
aircraft
Indicates that an entity is an aircraft or functions in the role of an aircraft in the described context.
-
E.
primaryAircraftRole
Indicates the main operational function or mission type an aircraft is primarily designed or used to perform.
- 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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dae4a0c8190a66cf6ed3889851c |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b70d99c819085d8381a313a2a34 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25d6ec9688190b2ba027756b57d25 |
completed | Feb. 28, 2026, 3:13 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.