Triple
T5832079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jorge Chávez Dartnell |
E129373
|
entity |
| Predicate | receivedAviationLicense |
P12714
|
FINISHED |
| Object | 1910 |
—
|
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: 1910 | Statement: [Jorge Chávez Dartnell, receivedAviationLicense, 1910]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedAviationLicense Context triple: [Jorge Chávez Dartnell, receivedAviationLicense, 1910]
-
A.
licenseProducedAircraft
Indicates that an entity manufactured an aircraft under a license agreement to produce a design created by another party.
-
B.
hasFlightTrainingActivity
Indicates that an entity is involved in or associated with a flight training activity.
-
C.
typeOfLicense
Indicates the specific kind or category of license associated with an entity.
-
D.
hasLicense
chosen
Indicates that an entity possesses a valid authorization or permit, typically granted by an authority, to perform a specific activity or use something.
-
E.
pilotRequirement
Indicates that a certain condition, qualification, or resource is required in order for a pilot to operate or perform a specified activity.
- 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03341e5888190a5f219b6f92cb161 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:54 p.m.