Triple
T17343322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AF4590 |
E421118
|
entity |
| Predicate | distanceFromAirportAtCrash |
P79745
|
FINISHED |
| Object | about 5 km from Paris Charles de Gaulle Airport |
—
|
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: about 5 km from Paris Charles de Gaulle Airport | Statement: [AF4590, distanceFromAirportAtCrash, about 5 km from Paris Charles de Gaulle Airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromAirportAtCrash Context triple: [AF4590, distanceFromAirportAtCrash, about 5 km from Paris Charles de Gaulle Airport]
-
A.
distanceFromAirportAtDitching
Indicates the measured distance between an aircraft and the nearest airport at the moment it was intentionally landed on water (ditched).
-
B.
destinationAirportAtTimeOfCrash
Indicates the airport that was the intended destination of a flight at the time the crash occurred.
-
C.
distanceToAirport
chosen
Indicates the measured distance between a given location and the nearest or specified airport.
-
D.
originAirportAtTimeOfCrash
Indicates the airport from which an aircraft departed at the specific time when the crash occurred.
-
E.
distanceToMBBAirport_km
Indicates the distance, measured in kilometers, from a given location to the MBB airport.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a18aca88190a816da85dd5fe371 |
completed | April 19, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b021a5bc81909ae55406f9d0b37f |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.