Triple
T16563672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wheel of Brisbane |
E402401
|
entity |
| Predicate | hasAirConditionedGondolas |
P124073
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Wheel of Brisbane, hasAirConditionedGondolas, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAirConditionedGondolas Context triple: [Wheel of Brisbane, hasAirConditionedGondolas, true]
-
A.
hasGondola
Indicates that one entity possesses, includes, or is equipped with a gondola.
-
B.
numberOfGondolas
Indicates the quantity of gondolas associated with a given entity or system.
-
C.
gondolaType
Indicates the specific kind or category of gondola associated with an entity.
-
D.
hasCableCar
Indicates that one entity possesses, operates, or is served by a cable car system connecting it to other locations or points.
-
E.
hasAirConditionedTrains
Indicates that the subject operates or provides trains that are equipped with air conditioning.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576f757881909bfc6611361ed16d |
completed | April 18, 2026, 10:05 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:15 a.m.