Triple
T13278823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N106US |
E316262
|
entity |
| Predicate | tailNumberFormat |
P109296
|
FINISHED |
| Object | US civil registration |
—
|
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: US civil registration | Statement: [N106US, tailNumberFormat, US civil registration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tailNumberFormat Context triple: [N106US, tailNumberFormat, US civil registration]
-
A.
tailNumberPrefix
Indicates that one entity’s tail number begins with the specified prefix represented by the other entity.
-
B.
usedToConstructFlightNumberFormat
Indicates that something serves as a basis or component for forming or defining the structure of a flight number format.
-
C.
aircraftRegistration
Indicates that an aircraft is assigned a specific official registration identifier or code.
-
D.
lastFlightDesignation
Indicates the specific flight identifier assigned to the most recent flight associated with an entity.
-
E.
aircraftMarking
Indicates a relationship where a marking, symbol, or identifier is applied to or displayed on an aircraft.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6535688190a5a4549b7be2d611 |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:26 p.m.