Triple
T8721566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 13e régiment de dragons parachutistes |
E207021
|
entity |
| Predicate | parachuteStatus |
P84266
|
FINISHED |
| Object | airborne-qualified unit |
—
|
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: airborne-qualified unit | Statement: [13e régiment de dragons parachutistes, parachuteStatus, airborne-qualified unit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parachuteStatus Context triple: [13e régiment de dragons parachutistes, parachuteStatus, airborne-qualified unit]
-
A.
parachuteSystem
Indicates that one entity functions as a parachute system used to safely decelerate or recover another entity.
-
B.
landerStatus
Indicates the current operational or situational state of a lander in its mission lifecycle.
-
C.
crewLandingStatus
Indicates the status or outcome of a crew’s landing event, such as whether and how the crew has successfully landed.
-
D.
aircraftStatus
Indicates the current operational condition or state of an aircraft (e.g., active, grounded, in maintenance, or decommissioned).
-
E.
landingCapability
Indicates the ability or suitability of an entity (e.g., a vehicle or system) to perform a landing under specified conditions.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d03f0848190a50c77e5cd028ee7 |
completed | March 31, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69cc457093188190959287a6458651c6 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc489dd528819084ed5d88bd8bb3d6 |
completed | March 31, 2026, 10:20 p.m. |
Created at: March 30, 2026, 6:36 p.m.