Triple
T8222197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pixar Pal-A-Round |
E192090
|
entity |
| Predicate | numberOfFixedGondolas |
P11360
|
FINISHED |
| Object | 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: 8 | Statement: [Pixar Pal-A-Round, numberOfFixedGondolas, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFixedGondolas Context triple: [Pixar Pal-A-Round, numberOfFixedGondolas, 8]
-
A.
numberOfGondolas
chosen
Indicates the quantity of gondolas associated with a given entity or system.
-
B.
gondolaType
Indicates the specific kind or category of gondola associated with an entity.
-
C.
hasCableCar
Indicates that one entity possesses, operates, or is served by a cable car system connecting it to other locations or points.
-
D.
hasSkiLifts
Indicates that one location or facility is equipped with ski lifts that provide transportation for skiers or visitors.
-
E.
numberOfAttractions
Indicates the total count of attractions associated with a given entity or context.
- 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb77c9680081909000fde3c9ae83ea |
completed | March 31, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69cb36af41e081909dee92b9bc4947f1 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:45 p.m.