Triple
T4065166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingenuity helicopter |
E86306
|
entity |
| Predicate | designedFlightCount |
P4899
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Ingenuity helicopter, designedFlightCount, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedFlightCount Context triple: [Ingenuity helicopter, designedFlightCount, 5]
-
A.
numberOfPlanes
Indicates the quantity of planes associated with or involved in a given entity or situation.
-
B.
numberOfFlights
chosen
Indicates the total count of flights associated with a given entity or within a specified context.
-
C.
aircraftCapacity
Indicates the maximum number of passengers or amount of load that an aircraft is designed or allowed to carry.
-
D.
designedAirGroup
Indicates that one entity is the air group (aircraft complement or air wing) specifically planned or configured for use with another entity, such as a ship or platform.
-
E.
aircraftFlown
Indicates that an entity (typically a person or organization) operates or pilots a particular aircraft.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0bdea48190805a79515ee92709 |
completed | March 9, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69aef90438908190a005b08ba271eacf |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.