Triple
T2754429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airbus A318 |
E61065
|
entity |
| Predicate | rangeWithSharklets |
P41667
|
FINISHED |
| Object | approximately 5750 km |
—
|
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: approximately 5750 km | Statement: [Airbus A318, rangeWithSharklets, approximately 5750 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rangeWithSharklets Context triple: [Airbus A318, rangeWithSharklets, approximately 5750 km]
-
A.
hasFlankVents
Indicates that an entity possesses vents located on its sides or flanks.
-
B.
hasHingedPlastronOrCarapace
Indicates that an entity possesses a plastron or carapace that is hinged, allowing parts of the shell to move relative to each other.
-
C.
hasLongerReachThan
Indicates that one entity can extend, influence, or physically reach farther than another entity.
-
D.
hasShoreOn
Indicates that one geographic entity borders or is directly adjacent to the shore of another body of water.
-
E.
shorelineIncludes
Indicates that a shoreline spatially contains or encompasses a specified coastal feature or segment.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb7073d081909da84b21015972f2 |
completed | March 7, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69abd82d005c81908a1ac7a1313c6d88 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd91497ec8190927e91ad33549eda |
completed | March 7, 2026, 7:51 a.m. |
Created at: March 6, 2026, 9:56 p.m.