Triple
T36825863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italia expedition |
E910007
|
entity |
| Predicate | typeOfVehicle |
P1776
|
FINISHED |
| Object | semi-rigid airship |
—
|
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: semi-rigid airship | Statement: [Italia expedition, typeOfVehicle, semi-rigid airship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfVehicle Context triple: [Italia expedition, typeOfVehicle, semi-rigid airship]
-
A.
vehicleType
chosen
Indicates the specific kind or category of vehicle associated with an entity (e.g., car, bus, bicycle).
-
B.
vehicleFamily
Indicates that two vehicles belong to the same family or category based on shared design, platform, or lineage.
-
C.
vehicleFor
Indicates that one entity serves as the means of transportation or conveyance for another entity.
-
D.
vahanaOf
Indicates that one entity serves as the vehicle, mount, or means of transportation for another entity.
-
E.
vehicleBase
Indicates that one entity serves as the foundational or underlying base for a vehicle-related entity or system.
- 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_69f76e7dd13c81908c60b05adb49eeb5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a033029023481909d9fa4a76b954879 |
completed | May 12, 2026, 1:50 p.m. |
| PD | Predicate disambiguation | batch_6a032d9f1fa48190bd1c94a8f930d02c |
completed | May 12, 2026, 1:39 p.m. |
Created at: May 3, 2026, 4:13 p.m.