Triple
T13156414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dornier Do 335 Pfeil |
E312599
|
entity |
| Predicate | survivingAircraftStatus |
P66892
|
FINISHED |
| Object | restored and on display |
—
|
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: restored and on display | Statement: [Dornier Do 335 Pfeil, survivingAircraftStatus, restored and on display]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: survivingAircraftStatus Context triple: [Dornier Do 335 Pfeil, survivingAircraftStatus, restored and on display]
-
A.
survivingAircraftCount
Indicates the number of aircraft that remain operational or intact after a specified event, condition, or time period.
-
B.
survivingAircraftLocation
Indicates the location where an aircraft that has survived an incident or event is situated.
-
C.
aircraftStatus
chosen
Indicates the current operational condition or state of an aircraft (e.g., active, grounded, in maintenance, or decommissioned).
-
D.
hasSurvivalStatus
Indicates the survival condition or outcome associated with an entity, such as whether it is alive, deceased, or in another defined survival state.
-
E.
landedStatus
Indicates the current landing-related state or outcome of an entity, such as whether it has successfully landed, is in the process of landing, or has failed to land.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bbd1d088190b7c69f37fc6eeb64 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:12 p.m.