Triple
T27088666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manifest |
E686101
|
entity |
| Predicate | aircraftInStory |
P163233
|
FINISHED |
| Object | Montego Air Flight 828 |
—
|
NE NERFINISHED |
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: Montego Air Flight 828 | Statement: [Manifest, aircraftInStory, Montego Air Flight 828]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftInStory Context triple: [Manifest, aircraftInStory, Montego Air Flight 828]
-
A.
portraysAircraft
Indicates that one entity visually represents or depicts an aircraft in some medium or form.
-
B.
launchedAircraftIn
Indicates that an entity initiated the takeoff or deployment of an aircraft within a specified location or context.
-
C.
aircraftAlternativeName
Indicates that an aircraft is known by an alternative or additional name, designation, or alias.
-
D.
theaterOfUseOfAircraft
Indicates the geographic or operational area in which an aircraft is intended to be or is actually employed.
-
E.
usesFictionalAircraftType
chosen
Indicates that an entity makes use of, operates, or features a type of aircraft that is fictional rather than real.
- 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_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 27, 2026, 8:39 a.m.