Triple

T15754781
Position Surface form Disambiguated ID Type / Status
Subject Douglas A-4 Skyhawk E381938 entity
Predicate notableVariant P4680 FINISHED
Object TA-4J E381941 NE 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: TA-4J | Statement: [Douglas A-4 Skyhawk, notableVariant, TA-4J]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TA-4J
Context triple: [Douglas A-4 Skyhawk, notableVariant, TA-4J]
  • A. TA-4J chosen
    The TA-4J is a two-seat, trainer version of the Douglas A-4 Skyhawk used primarily by the U.S. Navy and Marine Corps for advanced jet and carrier training.
  • B. J-4
    J-4 is the logistics directorate within a joint military staff responsible for planning, coordinating, and overseeing logistics and sustainment operations.
  • C. ATA-4
    ATA-4 is a version of the ATA (IDE) interface standard that introduced Ultra DMA modes to significantly increase data transfer speeds for parallel hard drives and optical drives.
  • D. T-1 Jungmann
    The T-1 Jungmann is a Japanese-built version of the Bücker Bü 131 primary training biplane, used for pilot instruction before and during World War II.
  • E. TX-4
    TX-4 is the commonly used abbreviation for Texas's 4th congressional district in the United States House of Representatives.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05031f6a08190bfb333eced0a59a1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff87714a8481909f8489c73ac89c11 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:47 a.m.