Triple
T9754893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paradise Falls |
E236529
|
entity |
| Predicate | travelMethodUsedToReach |
P1379
|
FINISHED |
| Object | house lifted by balloons |
—
|
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: house lifted by balloons | Statement: [Paradise Falls, travelMethodUsedToReach, house lifted by balloons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelMethodUsedToReach Context triple: [Paradise Falls, travelMethodUsedToReach, house lifted by balloons]
-
A.
transportAssumption
Indicates an assumption that something can be transported or carried from one place or context to another.
-
B.
passesUsedForTransportation
Indicates that the passes are utilized as a means or instrument for transporting people or goods.
-
C.
transportType
chosen
Indicates the mode or means of transportation used in carrying something or someone from one place to another.
-
D.
transportModePresent
Indicates that a particular mode of transportation is involved or available in the described context or event.
-
E.
modeOfTransportAtDeath
Indicates the means or vehicle by which a person was traveling at the time of their death.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9fb1370c8190bc153db8cababc62 |
completed | April 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:24 p.m.