Triple
T36846811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amelia Earhart’s Lockheed Electra 10E |
E910570
|
entity |
| Predicate | yearOfMajorFlight |
P196727
|
FINISHED |
| Object | 1937 |
—
|
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: 1937 | Statement: [Amelia Earhart’s Lockheed Electra 10E, yearOfMajorFlight, 1937]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfMajorFlight Context triple: [Amelia Earhart’s Lockheed Electra 10E, yearOfMajorFlight, 1937]
-
A.
yearOfFlight
Indicates the specific calendar year in which a particular flight took place or is scheduled to occur.
-
B.
yearOfFirstScheduledCommercialFlight
Indicates the calendar year in which the entity’s first scheduled commercial flight took place.
-
C.
dateOfNotableFlight
Indicates the calendar date on which a particular notable or significant flight took place.
-
D.
maidenFlightYear
Indicates the calendar year in which an aircraft or similar vehicle made its first-ever flight.
-
E.
lastFlightYear
Indicates the calendar year in which an entity’s most recent flight took place.
- F. None of above. chosen
Provenance (4 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_69f76e7f65a881908651b702da592b6d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe629b4fa481908467c7c41b77f0c6 |
completed | May 8, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69fe61bb260c819083f9378a3a06ca47 |
completed | May 8, 2026, 10:20 p.m. |
| PDg | Predicate description generation | batch_69fe629a8d4c8190b4aa4dee39efc0a6 |
completed | May 8, 2026, 10:24 p.m. |
Created at: May 3, 2026, 4:13 p.m.