Triple
T4065149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingenuity helicopter |
E86306
|
entity |
| Predicate | totalFlightTimeMinutes |
P51781
|
FINISHED |
| Object | 128.8 |
—
|
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: 128.8 | Statement: [Ingenuity helicopter, totalFlightTimeMinutes, 128.8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalFlightTimeMinutes Context triple: [Ingenuity helicopter, totalFlightTimeMinutes, 128.8]
-
A.
flightDuration
Indicates the length of time that a specific flight takes from departure to arrival.
-
B.
flightHours
Indicates the number of hours an entity has spent in flight or operating in the air.
-
C.
durationTotal
Indicates the overall length of time for which an event, process, or state persists, typically aggregating all its constituent durations.
-
D.
airTime
Indicates the duration or scheduling time during which something, typically a broadcast or performance, is transmitted or presented.
-
E.
lengthInMinutes
chosen
Indicates the duration of something expressed as a number of minutes.
- 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.