Triple
T2911558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jericho-Trompete siren |
E63692
|
entity |
| Predicate | associatedWithAircraftRole |
P2860
|
FINISHED |
| Object | ground-attack 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: ground-attack aircraft | Statement: [Jericho-Trompete siren, associatedWithAircraftRole, ground-attack aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAircraftRole Context triple: [Jericho-Trompete siren, associatedWithAircraftRole, ground-attack aircraft]
-
A.
basedAircraftRole
Indicates that an aircraft is regularly stationed at a particular location in a specified operational role or function.
-
B.
associatedWithICAOcode
Indicates a relationship where an entity is linked to, or identified by, a specific ICAO (International Civil Aviation Organization) code.
-
C.
associatedWithAirportType
Indicates that an entity has a connection or linkage to a specific category or type of airport.
-
D.
primaryAircraftRole
chosen
Indicates the main operational function or mission type an aircraft is primarily designed or used to perform.
-
E.
associatedWithMuseumAircraft
Indicates a relationship where an aircraft is connected to, displayed by, or otherwise part of a museum’s collection or exhibits.
- 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0ea0ae4819096f17d74072b0b78 |
completed | March 7, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69abdd1b77608190b20fc078fdb85e64 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:11 p.m.