Triple
T6555245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 13 Squadron RAF |
E152430
|
entity |
| Predicate | aircraftRoleOperated |
P71776
|
FINISHED |
| Object | reconnaissance aircraft |
—
|
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: reconnaissance aircraft | Statement: [No. 13 Squadron RAF, aircraftRoleOperated, reconnaissance aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftRoleOperated Context triple: [No. 13 Squadron RAF, aircraftRoleOperated, reconnaissance aircraft]
-
A.
aircraftRoleSupported
Indicates that a given role or function is supported or enabled for a particular aircraft.
-
B.
notableAircraftRole
Indicates that an aircraft is notably associated with performing a particular role or function.
-
C.
usedOnAircraftRole
Indicates that something is employed or applied in the context of a specific role or function on an aircraft.
-
D.
basedAircraftRole
Indicates that an aircraft is regularly stationed at a particular location in a specified operational role or function.
-
E.
primaryAircraftRole
Indicates the main operational function or mission type an aircraft is primarily designed or used to perform.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c1b15d3481908ae66e3d7564b352 |
completed | March 27, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69c6acf6d4148190914b19e9affd8c76 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6c1b007148190b5164d6d09584cdf |
completed | March 27, 2026, 5:43 p.m. |
Created at: March 27, 2026, 1:51 p.m.