Triple
T18133333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judy |
E434069
|
entity |
| Predicate | hasDesignationOfReferencedAircraft |
P106234
|
FINISHED |
| Object | D4Y2 |
—
|
NE NERFINISHED |
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: D4Y2 | Statement: [Judy, hasDesignationOfReferencedAircraft, D4Y2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: D4Y2 Context triple: [Judy, hasDesignationOfReferencedAircraft, D4Y2]
-
A.
D4Y1
chosen
D4Y1 is a variant of the Japanese Yokosuka D4Y “Suisei” carrier-based dive bomber used by the Imperial Japanese Navy during World War II.
-
B.
D4
D4 is a commuter rail line within Moscow’s Moscow Central Diameters network, connecting suburban areas with the city through frequent, urban-style train service.
-
C.
D40
D40 is the third-generation Nissan Navara mid-size pickup truck platform produced globally in the mid-2000s to 2010s.
-
D.
D48
D48 is a prehistoric megalithic dolmen located in the municipality of Aa en Hunze in the Dutch province of Drenthe.
-
E.
4Y
4Y is the IATA airline designator assigned to Airbus Transport International, the cargo airline operating Airbus Beluga transport aircraft.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de04321c81909c0b9d47757720fd |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.